diff --git a/docs/html/.doctrees/class_schedule.doctree b/docs/html/.doctrees/class_schedule.doctree index 71b526b..9394f32 100644 Binary files a/docs/html/.doctrees/class_schedule.doctree and b/docs/html/.doctrees/class_schedule.doctree differ diff --git a/docs/html/.doctrees/environment.pickle b/docs/html/.doctrees/environment.pickle index 41a475c..b186757 100644 Binary files a/docs/html/.doctrees/environment.pickle and b/docs/html/.doctrees/environment.pickle differ diff --git a/docs/html/class_schedule.html b/docs/html/class_schedule.html index a81618b..d09a0f1 100644 --- a/docs/html/class_schedule.html +++ b/docs/html/class_schedule.html @@ -1 +1 @@ - Class Schedule — Unifying Data Science Skip to content

Class Schedule

Class: Tuesday / Thursday, 1:25-2:40pm

Office Hours:

Date

Topic

Do Before Class

In Class

Thrs, Jan 11

Course Overview

Tues, Jan 16

Solving Problems by Answering Questions

Thrs, Jan 18

Stakeholder Management

Tues, Jan 23

Proscriptive v. Descriptive Questions

Thrs, Jan 25

Exploratory Questions

Tues, Jan 30

Exploratory Questions

Thrs, Feb 1

Teams 1

Tues, Feb 6

Teams 2

Thrs, Feb 8

Passive Prediction Questions

Tues, Feb 13

Passive Prediction Questions

Thrs, Feb 15

Passive Prediction Questions

Tues, Feb 20

Causal Questions

Thrs, Feb 22

Causal Questions

Exercise

Tues, Feb 27

Causal Questions

  • Cunningham, Chpt 4, pp 135 (“Independence Assumption”) - 148 (Stop at “Randomization Inference”)

  • Indicator Variables

(Note SDO (Simple Difference in Outcomes) in Cunningham same as “widehat{ATE} from class)

Optional:

  • Read Chpt 4 in Cunningham from start (different presentation of potential outcomes)

Exercise

Thrs, Feb 29

Causal Questions: Experiments

Experiments: Internal Validity (In Practice): - Kohvani, Tang and Xu: Chpt 19 (A/A Testing) - Kohvani, Tang and Xu: Chpt 21 (Guardrail Metrics)

  • Kohavi, Tang and Xu: Chpt 3, “Threats to Internal Validity” (p. 42-47)

  • Different Randomizations: KTX Chpt 22

Tues, Mar 5

Causal Questions: Experiments

Experiments: External Validity (In Practice): - Kohavi, Tang and Xu, Chpt 3, “Threats to External Validity” to end (p. 47-54) - Kohvai, Tang and Xu, Chpt 23 (Primacy Effects / Long Term Decay)

Thrs, Mar 7

Causal Questions: Experiments

Experiments: Interpretation - P-Values - Kohavi, Tang and Xu, Chpt 3 up to “Threats to Internal Validity” (p. 39-42)

Experiments: Power Calculations

Tues, Mar 12

NO CLASS

Thrs, Mar 14

NO CLASS

Tues, Mar 19

Causal Questions: Experiments

Decision Theory (maybe Bayesian AB Testing)?

Thrs, Mar 21

MIDTERM

MIDTERM

Tues, Mar 26

Causal Questions: Regressions

Thrs, Mar 28

Causal Questions: Indicators and Fixed Effects

Tues, Apr 2

Causal Questions: Matching

Thrs, Apr 4

Causal Questions: Differences and Differences / Panels

  • Angrist and Piscke (MM), Chapter 5 (pp 178-208)

Optional but encouraged: (dont need to follow everything, but here’s a real diff-in-diff)

Tues, Apr 9

Ethics

Thrs, Apr 11

Tues, Apr 16

Tues, Apr 18

EXTRAS

Stuff that didn’t make it to class

  • Adversarial Users:

Texts Referenced in Schedule:

\ No newline at end of file + Class Schedule — Unifying Data Science Skip to content

Class Schedule

Class: Tuesday / Thursday, 1:25-2:40pm

Office Hours:

Date

Topic

Do Before Class

In Class

Thrs, Jan 11

Course Overview

Tues, Jan 16

Solving Problems by Answering Questions

Thrs, Jan 18

Stakeholder Management

Tues, Jan 23

Proscriptive v. Descriptive Questions

Thrs, Jan 25

Exploratory Questions

Tues, Jan 30

Exploratory Questions

Thrs, Feb 1

Teams 1

Tues, Feb 6

Teams 2

Thrs, Feb 8

Passive Prediction Questions

Tues, Feb 13

Passive Prediction Questions

Thrs, Feb 15

Passive Prediction Questions

Tues, Feb 20

Causal Questions

Thrs, Feb 22

Causal Questions

Exercise

Tues, Feb 27

Causal Questions

  • Cunningham, Chpt 4, pp 135 (“Independence Assumption”) - 148 (Stop at “Randomization Inference”)

  • Indicator Variables

(Note SDO (Simple Difference in Outcomes) in Cunningham same as “widehat{ATE} from class)

Optional:

  • Read Chpt 4 in Cunningham from start (different presentation of potential outcomes)

Exercise

Thrs, Feb 29

Causal Questions: Experiments

Experiments: Internal Validity (In Practice):

  • Kohvani, Tang and Xu: Chpt 2 (End to End Example)

  • Kohavi, Tang and Xu: Chpt 3, “Threats to Internal Validity” (p. 42-47)

  • Kohvani, Tang and Xu: Chpt 19 (A/A Testing)

Tues, Mar 5

Causal Questions: Experiments

Experiments: External Validity (In Practice):

  • Finishing Internal Validity: Different Randomizations: KTX Chpt 22

  • Kohavi, Tang and Xu, Chpt 3, “Threats to External Validity” to end (p. 47-54)

  • Kohvai, Tang and Xu, Chpt 23 (Primacy Effects / Long Term Decay)

Thrs, Mar 7

Causal Questions: Experiments

Experiments: Interpretation

  • P-Values

  • Kohavi, Tang and Xu, Chpt 3 up to “Threats to Internal Validity” (p. 39-42)

Experiments: Power Calculations

Tues, Mar 12

NO CLASS

Thrs, Mar 14

NO CLASS

Tues, Mar 19

Causal Questions: Experiments

Decision Theory (maybe Bayesian AB Testing)?

Thrs, Mar 21

MIDTERM

MIDTERM

Tues, Mar 26

Causal Questions: Regressions

Thrs, Mar 28

Causal Questions: Indicators and Fixed Effects

Tues, Apr 2

Causal Questions: Matching

Thrs, Apr 4

Causal Questions: Differences and Differences / Panels

  • Angrist and Piscke (MM), Chapter 5 (pp 178-208)

Optional but encouraged: (dont need to follow everything, but here’s a real diff-in-diff)

Tues, Apr 9

Ethics

Thrs, Apr 11

Tues, Apr 16

Tues, Apr 18

EXTRAS

Stuff that didn’t make it to class

  • Adversarial Users:

Texts Referenced in Schedule:

\ No newline at end of file diff --git a/docs/html/searchindex.js b/docs/html/searchindex.js index 218e81c..cca65f6 100644 --- a/docs/html/searchindex.js +++ b/docs/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["DRAFT_ml_bias", "UDS_midterm_part2_2022", "backwards_design", "causal_inference_beyond_ab_testing", "class_schedule", "descriptive_questions", "endogenous_stopping", "ethical_ml_recommendations", "evaluating_real_studies", "exercises/discussion_exploratory", "exercises/discussion_regressions_incomeineq", "exercises/exercise_abtesting", "exercises/exercise_counterfactuals", "exercises/exercise_diffindiff", "exercises/exercise_evaluating_studies", "exercises/exercise_exploratory", "exercises/exercise_first_class_capstone_proposal", "exercises/exercise_generating_questions", "exercises/exercise_ghostmap_1", "exercises/exercise_ghostmap_2", "exercises/exercise_indicators", "exercises/exercise_interpretable", "exercises/exercise_matching", 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"Overview": [[0, "Overview"], [2, "Overview"]], "1) Define Your Problem": [[0, "1)-Define-Your-Problem"], [2, "1)-Define-Your-Problem"]], "2) Define the Question You Wish to Answer": [[0, "2)-Define-the-Question-You-Wish-to-Answer"], [2, "2)-Define-the-Question-You-Wish-to-Answer"]], "A Digression on Supervised Machine Learning": [[0, "A-Digression-on-Supervised-Machine-Learning"], [2, "A-Digression-on-Supervised-Machine-Learning"]], "UDS Midterm 2022, Part 2": [[1, "UDS-Midterm-2022,-Part-2"]], "Estimating The Effect of Education on Employment": [[1, "Estimating-The-Effect-of-Education-on-Employment"]], "Getting to Know Your Data": [[1, "Getting-to-Know-Your-Data"]], "Subsetting for People over 25 in the Labor Force": [[1, "Subsetting-for-People-over-25-in-the-Labor-Force"]], "Measuring Education": [[1, "Measuring-Education"]], "Education and Employment": [[1, "Education-and-Employment"]], "Defining a Good Question": [[2, "Defining-a-Good-Question"]], "Why is Having a Good Question 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"Researcher-Discretion-in-Descriptive-Analysis"]], "Faithful Representation": [[5, "Faithful-Representation"]], "Choosing What To Ask and Present": [[5, "Choosing-What-To-Ask-and-Present"]], "Context": [[5, "Context"], [30, "Context"]], "Values": [[5, "Values"]], "Peeking / Endogenous Stopping": [[6, "Peeking-/-Endogenous-Stopping"]], "Recommendations for Responsible Machine Learning": [[7, "Recommendations-for-Responsible-Machine-Learning"]], "1. Choose Your Training Data Carefully": [[7, "1.-Choose-Your-Training-Data-Carefully"]], "2. Only Use Opaque Models When You Have To": [[7, "2.-Only-Use-Opaque-Models-When-You-Have-To"]], "3. Use Models with Functional Form Constraints": [[7, "3.-Use-Models-with-Functional-Form-Constraints"]], "4. Compare Predictions for Sub-Populations": [[7, "4.-Compare-Predictions-for-Sub-Populations"]], "5. \u201cNo\u201d is Always An Option": [[7, "5.-%22No%22-is-Always-An-Option"]], "Tools for Interpretable / Constrained Machine Learning": [[7, "Tools-for-Interpretable-/-Constrained-Machine-Learning"]], "Interpretable Models": [[7, "Interpretable-Models"]], "Tools for Neural Networks": [[7, "Tools-for-Neural-Networks"]], "Constrained Models": [[7, "Constrained-Models"]], "Tools for Introspection": [[7, "Tools-for-Introspection"]], "Evaluating Real Studies": [[8, "Evaluating-Real-Studies"]], "The Sun Is Bright for Dogs Too": [[8, "The-Sun-Is-Bright-for-Dogs-Too"]], "Evaluating Baseline Differences": [[8, "Evaluating-Baseline-Differences"]], "Why we need all three": [[8, "Why-we-need-all-three"]], "Evaulating Differential Treatment Effects": [[8, "Evaulating-Differential-Treatment-Effects"]], "What Comes Next?": [[8, "What-Comes-Next?"]], "Well this has been unsatisfying": [[8, "Well-this-has-been-unsatisfying"]], "Discussion of Descriptive Exercises": [[9, "Discussion-of-Descriptive-Exercises"]], "Exercise 8": [[9, "Exercise-8"], [11, "Exercise-8"], [15, "Exercise-8"], [20, "Exercise-8"], [21, "Exercise-8"], [22, "Exercise-8"], [24, "Exercise-8"], [25, "Exercise-8"], [28, "Exercise-8"], [36, "Exercise-8"], [37, "Exercise-8"], [38, "Exercise-8"], [40, "Exercise-8"], [41, "Exercise-8"], [29, "Exercise-8"]], "Takeaways": [[9, "Takeaways"]], "Absolutely positively need the solutions?": [[9, "Absolutely-positively-need-the-solutions?"], [20, "Absolutely-positively-need-the-solutions?"], [22, "Absolutely-positively-need-the-solutions?"], [24, "Absolutely-positively-need-the-solutions?"], [37, "Absolutely-positively-need-the-solutions?"]], "Interpreting Causal Effects of Gender": [[10, "Interpreting-Causal-Effects-of-Gender"]], "A/B Testing the Udacity Website": [[11, "A/B-Testing-the-Udacity-Website"]], "Udacity\u2019s Test": [[11, "Udacity's-Test"]], "Import the Data": [[11, "Import-the-Data"]], "Exercise 1": [[11, "Exercise-1"], [13, "Exercise-1"], [15, "Exercise-1"], [17, "Exercise-1"], [20, "Exercise-1"], [21, "Exercise-1"], [22, "Exercise-1"], [24, "Exercise-1"], [25, "Exercise-1"], [30, "Exercise-1"], [31, "Exercise-1"], [33, "Exercise-1"], [34, "Exercise-1"], [36, "Exercise-1"], [37, "Exercise-1"], [38, "Exercise-1"], [41, "Exercise-1"], [29, "Exercise-1"]], "Exercise 2": [[11, "Exercise-2"], [13, "Exercise-2"], [15, "Exercise-2"], [20, "Exercise-2"], [21, "Exercise-2"], [22, "Exercise-2"], [24, "Exercise-2"], [25, "Exercise-2"], [30, "Exercise-2"], [31, "Exercise-2"], [33, "Exercise-2"], [33, "id1"], [34, "Exercise-2"], [36, "Exercise-2"], [37, "Exercise-2"], [38, "Exercise-2"], [41, "Exercise-2"], [29, "Exercise-2"]], "Pick your measures": [[11, "Pick-your-measures"]], "Exercise 3": [[11, "Exercise-3"], [13, "Exercise-3"], [15, "Exercise-3"], [20, "Exercise-3"], [21, "Exercise-3"], [22, "Exercise-3"], [24, "Exercise-3"], [25, "Exercise-3"], [28, "Exercise-3"], [30, "Exercise-3"], [33, "Exercise-3"], [34, "Exercise-3"], [36, "Exercise-3"], [37, "Exercise-3"], [38, "Exercise-3"], [40, "Exercise-3"], [41, "Exercise-3"], [29, "Exercise-3"]], "Exercise 4": [[11, "Exercise-4"], [13, "Exercise-4"], [15, "Exercise-4"], [20, "Exercise-4"], [21, "Exercise-4"], [22, "Exercise-4"], [24, "Exercise-4"], [25, "Exercise-4"], [28, "Exercise-4"], [33, "Exercise-4"], [34, "Exercise-4"], [36, "Exercise-4"], [37, "Exercise-4"], [38, "Exercise-4"], [40, "Exercise-4"], [41, "Exercise-4"], [29, "Exercise-4"]], "Exercise 5": [[11, "Exercise-5"], [13, "Exercise-5"], [15, "Exercise-5"], [20, "Exercise-5"], [21, "Exercise-5"], [22, "Exercise-5"], [24, "Exercise-5"], [25, "Exercise-5"], [28, "Exercise-5"], [33, "Exercise-5"], [34, "Exercise-5"], [36, "Exercise-5"], [37, "Exercise-5"], [38, "Exercise-5"], [40, "Exercise-5"], [41, "Exercise-5"], [29, "Exercise-5"]], "Validating The Data": [[11, "Validating-The-Data"]], "Exercise 6": [[11, "Exercise-6"], [13, "Exercise-6"], [15, "Exercise-6"], [20, "Exercise-6"], [21, "Exercise-6"], [22, "Exercise-6"], [24, "Exercise-6"], [24, "id1"], [25, "Exercise-6"], [28, "Exercise-6"], [33, "Exercise-6"], [34, "Exercise-6"], [36, "Exercise-6"], [37, "Exercise-6"], [38, "Exercise-6"], [40, "Exercise-6"], [41, "Exercise-6"], [29, "Exercise-6"]], "Exercise 7": [[11, "Exercise-7"], [13, "Exercise-7"], [15, "Exercise-7"], [20, "Exercise-7"], [21, "Exercise-7"], [22, "Exercise-7"], [24, "Exercise-7"], [25, "Exercise-7"], [28, "Exercise-7"], [33, "Exercise-7"], [34, "Exercise-7"], [36, "Exercise-7"], [37, "Exercise-7"], [38, "Exercise-7"], [40, "Exercise-7"], [41, "Exercise-7"], [29, "Exercise-7"]], "Exercise 9": [[11, "Exercise-9"], [21, "Exercise-9"], [22, "Exercise-9"], [25, "Exercise-9"], [28, "Exercise-9"], [37, "Exercise-9"], [38, "Exercise-9"], [40, "Exercise-9"], [41, "Exercise-9"], [29, "Exercise-9"]], "Estimating the Effect of Experiment": [[11, "Estimating-the-Effect-of-Experiment"]], "Exercise 10": [[11, "Exercise-10"], [21, "Exercise-10"], [22, "Exercise-10"], [25, "Exercise-10"], [28, "Exercise-10"], [37, "Exercise-10"], [40, "Exercise-10"], [41, "Exercise-10"], [29, "Exercise-10"]], "Exercise 11": [[11, "Exercise-11"], [21, "Exercise-11"], [22, "Exercise-11"], [25, "Exercise-11"], [28, "Exercise-11"], [37, "Exercise-11"], [40, "Exercise-11"], [41, "Exercise-11"], [29, "Exercise-11"]], "Exercise 12": [[11, "Exercise-12"], [21, "Exercise-12"], [22, "Exercise-12"], [25, "Exercise-12"], [28, "Exercise-12"], [37, "Exercise-12"], [40, "Exercise-12"], [41, "Exercise-12"], [29, "Exercise-12"]], "Exercise 13": [[11, "Exercise-13"], [21, "Exercise-13"], [22, "Exercise-13"], [25, "Exercise-13"], [28, "Exercise-13"], [37, "Exercise-13"], [40, "Exercise-13"], [29, "Exercise-13"]], "Exercise 14": [[11, "Exercise-14"], [21, "Exercise-14"], [22, "Exercise-14"], [25, "Exercise-14"], [28, "Exercise-14"], [37, "Exercise-14"], [40, "Exercise-14"]], "Counter-Factuals and Experimental Ideals": [[12, "Counter-Factuals-and-Experimental-Ideals"]], "What is a Counterfactual?": [[12, "What-is-a-Counterfactual?"]], "What is a randomized experiment?": [[12, "What-is-a-randomized-experiment?"]], "Identifying Counter-Factuals": [[12, "Identifying-Counter-Factuals"]], "Exercise 1:": [[12, "Exercise-1:"], [28, "Exercise-1:"], [40, "Exercise-1:"]], "Exercise 2:": [[12, "Exercise-2:"], [17, "Exercise-2:"], [28, "Exercise-2:"], [40, "Exercise-2:"]], "Exercise 3:": [[12, "Exercise-3:"]], "Marijuana Legalization and Violent Crime": [[13, "Marijuana-Legalization-and-Violent-Crime"]], "Evaluating Studies": [[14, "Evaluating-Studies"]], "Study 1: Gym Memberships": [[14, "Study-1:-Gym-Memberships"]], "Study 2: Car Insurance": [[14, "Study-2:-Car-Insurance"]], "Study 3: Billboard": [[14, "Study-3:-Billboard"]], "Crime and Policing Expenditures Exploratory Questions": [[15, "Crime-and-Policing-Expenditures-Exploratory-Questions"]], "Exercises": [[15, "Exercises"]], "After you have answered\u2026": [[15, "After-you-have-answered..."], [33, "After-you-have-answered..."]], "Your First Stakeholder": [[16, "Your-First-Stakeholder"]], "The Proposal": [[16, "The-Proposal"]], "Your Task": [[16, "Your-Task"], [30, "Your-Task"]], "Converting Stakeholder Prompts into Actionable Questions": [[17, "Converting-Stakeholder-Prompts-into-Actionable-Questions"]], "Causality in the Time of Cholera": [[18, "Causality-in-the-Time-of-Cholera"], [19, "Causality-in-the-Time-of-Cholera"]], "Question 1:": [[18, "Question-1:"], [19, "Question-1:"]], "Question 2:": [[18, "Question-2:"], [19, "Question-2:"]], "Question 3:": [[18, "Question-3:"], [19, "Question-3:"]], "Question 4": [[18, "Question-4"], [19, "Question-4"]], "Question 5": [[18, "Question-5"], [19, "Question-5"]], "Question 6": [[18, "Question-6"], [19, "Question-6"]], "Question 7:": [[18, "Question-7:"], [19, "Question-7:"]], "Question 8:": [[18, "Question-8:"], [19, "Question-8:"]], "Question 9:": [[18, "Question-9:"], [19, "Question-9:"]], "Interpreting Indicator Variables": [[20, "Interpreting-Indicator-Variables"], [36, "Interpreting-Indicator-Variables"]], "Indicator Variables and Omitted Variable Bias": [[20, "Indicator-Variables-and-Omitted-Variable-Bias"], [36, "Indicator-Variables-and-Omitted-Variable-Bias"]], "Interaction Effects": [[20, "Interaction-Effects"], [36, "Interaction-Effects"]], "Interpretable Modelling of Credit Risk": [[21, "Interpretable-Modelling-of-Credit-Risk"]], "Data Prep": [[21, "Data-Prep"]], "Model Fitting": [[21, "Model-Fitting"]], "Let\u2019s See This Interpretability!": [[21, "Let's-See-This-Interpretability!"]], "Exercise 15": [[21, "Exercise-15"], [22, "Exercise-15"], [25, "Exercise-15"], [37, "Exercise-15"]], "Exercise 16": [[21, "Exercise-16"], [22, "Exercise-16"], [25, "Exercise-16"], [37, "Exercise-16"]], "Exercise 17": [[21, "Exercise-17"], [25, "Exercise-17"]], "Matching Exercise": [[22, "Matching-Exercise"], [37, "Matching-Exercise"]], "Matching Packages: Python v. R": [[22, "Matching-Packages:-Python-v.-R"], [37, "Matching-Packages:-Python-v.-R"]], "Installing dame-flame.": [[22, "Installing-dame-flame."], [37, "Installing-dame-flame."]], "Data Setup": [[22, "Data-Setup"], [37, "Data-Setup"]], "Getting To Know Your Data": [[22, "Getting-To-Know-Your-Data"], [37, "Getting-To-Know-Your-Data"]], "Matching!": [[22, "Matching!"], [37, "Matching!"]], "Let\u2019s Do Matching with DAME": [[22, "Let's-Do-Matching-with-DAME"], [37, "Let's-Do-Matching-with-DAME"]], "Interpreting DAME output": [[22, "Interpreting-DAME-output"], [37, "Interpreting-DAME-output"]], "Getting Back a Dataset": [[22, "Getting-Back-a-Dataset"], [37, "Getting-Back-a-Dataset"]], "Check Your Matches and Analyze": [[22, "Check-Your-Matches-and-Analyze"], [37, "Check-Your-Matches-and-Analyze"]], "Other Forms of Matching": [[22, "Other-Forms-of-Matching"], [37, "Other-Forms-of-Matching"]], "Optimal AB Testing Design": [[23, "Optimal-AB-Testing-Design"]], "The Experiment": [[23, "The-Experiment"]], "Question 2": [[23, "Question-2"]], "Question 3": [[23, "Question-3"]], "Traffic Death Analysis": [[24, "Traffic-Death-Analysis"], [38, "Traffic-Death-Analysis"]], "Fixed Effects by Demeaning": [[24, "Fixed-Effects-by-Demeaning"], [38, "Fixed-Effects-by-Demeaning"]], "Predicting Mortgage Delinquency Risk": [[25, "Predicting-Mortgage-Delinquency-Risk"]], "Gradescope Autograding": [[25, "Gradescope-Autograding"], [29, "Gradescope-Autograding"]], "Submission Limits": [[25, "Submission-Limits"], [29, "Submission-Limits"]], "Data Cleaning and Organization": [[25, "Data-Cleaning-and-Organization"]], "Modelling Delinquency Risk": [[25, "Modelling-Delinquency-Risk"]], "Now To The Future": [[25, "Now-To-The-Future"]], "Exercise 18": [[25, "Exercise-18"]], "Making Potential Outcomes Concrete": [[26, "Making-Potential-Outcomes-Concrete"], [39, "Making-Potential-Outcomes-Concrete"]], "The Study": [[26, "The-Study"], [27, "The-Study"], [39, "The-Study"]], "Mapping to the Potential Outcomes Framework": [[26, "Mapping-to-the-Potential-Outcomes-Framework"], [27, "Mapping-to-the-Potential-Outcomes-Framework"], [39, "Mapping-to-the-Potential-Outcomes-Framework"]], "Observability": [[26, "Observability"], [27, "Observability"], [39, "Observability"]], "Causal Inference": [[26, "Causal-Inference"], [27, "Causal-Inference"], [39, "Causal-Inference"]], "Making Potential Outcomes Concrete 2": [[27, "Making-Potential-Outcomes-Concrete-2"]], "Estimating Gender Discrimination in the Workplace": [[28, "Estimating-Gender-Discrimination-in-the-Workplace"], [40, "Estimating-Gender-Discrimination-in-the-Workplace"]], "Soliciting Information From Your Stakeholder": [[30, "Soliciting-Information-From-Your-Stakeholder"]], "Stakeholder Project Proposal": [[30, "Stakeholder-Project-Proposal"]], "A Data Analysis of Voting Access on College Campuses": [[30, "A-Data-Analysis-of-Voting-Access-on-College-Campuses"]], "Background": [[30, "Background"], [61, "Background"]], "Objectives": [[30, "Objectives"]], "Our Approach": [[30, "Our-Approach"]], "Generating and Classifying Questions": [[31, "Generating-and-Classifying-Questions"]], "Exploratory Question:": [[31, "Exploratory-Question:"], [31, "id1"]], "Passive-Predictive Question:": [[31, "Passive-Predictive-Question:"], [31, "id2"]], "Causal Question:": [[31, "Causal-Question:"], [31, "id3"]], "Groupby and Arrest Data": [[32, "Groupby-and-Arrest-Data"], [34, "Groupby-and-Arrest-Data"]], "Learning the Group Structure of Your Data": [[32, "Learning-the-Group-Structure-of-Your-Data"]], "Testing Your Assumptions": [[32, "Testing-Your-Assumptions"]], "Crime and Poverty Descriptive Analysis": [[33, "Crime-and-Poverty-Descriptive-Analysis"]], "Acme Corportation Solution": [[35, "Acme-Corportation-Solution"]], "Resume Experiment Analysis": [[41, "Resume-Experiment-Analysis"], [29, "Resume-Experiment-Analysis"]], "Checking for Balance": [[41, "Checking-for-Balance"], [29, "Checking-for-Balance"]], "Estimating Effect of Race": [[41, "Estimating-Effect-of-Race"], [29, "Estimating-Effect-of-Race"]], "Estimating Heterogeneous Effects": [[41, "Estimating-Heterogeneous-Effects"], [29, "Estimating-Heterogeneous-Effects"]], "What Did We Just Measure?": [[41, "What-Did-We-Just-Measure?"], [29, "What-Did-We-Just-Measure?"]], "Fixed Effects: Indicator Variables for Groups": [[42, "Fixed-Effects:-Indicator-Variables-for-Groups"]], "Implementing Fixed Effects": [[42, "Implementing-Fixed-Effects"]], "Clustering": [[42, "Clustering"]], "Computationally Efficient Fixed Effects": [[42, "Computationally-Efficient-Fixed-Effects"]], "Fixed Effects and Causal Inference": [[43, "Fixed-Effects-and-Causal-Inference"]], "Fixed Effects and Hierarchical Models": [[44, "Fixed-Effects-and-Hierarchical-Models"]], "Fixed Effects & Clustered Standard Errors": [[44, "Fixed-Effects-&-Clustered-Standard-Errors"]], "Things To Remember:": [[44, "Things-To-Remember:"]], "How to Read (Academic Edition)": [[45, "How-to-Read-(Academic-Edition)"]], "Read Actively": [[45, "Read-Actively"]], "Be Patient with Examples From Different Domains": [[45, "Be-Patient-with-Examples-From-Different-Domains"]], "Do NOT Summarize with LLMs": [[45, "Do-NOT-Summarize-with-LLMs"]], "Welcome to Solving Problems with Data!": [[46, "welcome-to-solving-problems-with-data"]], "Pre-Requisites for Non-MIDS Students": [[46, "pre-requisites-for-non-mids-students"]], "Syllabus": [[46, "syllabus"]], "Internal and External Validity": [[47, "Internal-and-External-Validity"]], "Internal Validity": [[47, "Internal-Validity"]], "External Validity": [[47, "External-Validity"]], "External Validity Considerations": [[47, "External-Validity-Considerations"]], "Trade-Offs Between Internal and External Validity": [[47, "Trade-Offs-Between-Internal-and-External-Validity"]], "Conclusion": [[47, "Conclusion"], [59, "Conclusion"]], "Using and Interpreting Indicator (Dummy) Variables": [[48, "Using-and-Interpreting-Indicator-(Dummy)-Variables"]], "What are indicator variables?": [[48, "What-are-indicator-variables?"]], "The ONE thing that you must understand when using indicator variables:": [[48, "The-ONE-thing-that-you-must-understand-when-using-indicator-variables:"]], "Indicator Variables with Two Category Variable": [[48, "Indicator-Variables-with-Two-Category-Variable"]], "Indicator Variables for variables with more than 2 categories": [[48, "Indicator-Variables-for-variables-with-more-than-2-categories"]], "Interactions with Constant Variables": [[48, "Interactions-with-Constant-Variables"]], "Keeping Things Straight": [[48, "Keeping-Things-Straight"]], "The * operator": [[48, "The-*-operator"]], "Interactions Between Multiple Indicator Variables": [[48, "Interactions-Between-Multiple-Indicator-Variables"]], "Fixed Effects": [[48, "Fixed-Effects"]], "Limitations of Experiments (and Average Treatment Effects)": [[49, "Limitations-of-Experiments-(and-Average-Treatment-Effects)"]], "Who\u2019s Average?": [[49, "Who's-Average?"]], "The Fine Print of ATE": [[49, "The-Fine-Print-of-ATE"]], "SUTVA": [[49, "SUTVA"]], "How Matching is Done (A Summary)": [[50, "How-Matching-is-Done-(A-Summary)"]], "Pruning Your Data": [[50, "Pruning-Your-Data"]], "Measuring Similarity": [[50, "Measuring-Similarity"]], "When Can / Should I Use Matching?": [[50, "When-Can-/-Should-I-Use-Matching?"]], "Checking Balance": [[50, "Checking-Balance"]], "Analyze!": [[50, "Analyze!"]], "Specific Models": [[50, "Specific-Models"]], "Matching": [[51, "Matching"]], "Model Dependency": [[51, "Model-Dependency"]], "Model Dependency, Causal Inference, and Imbalance": [[51, "Model-Dependency,-Causal-Inference,-and-Imbalance"]], "Matching: Better thought of as pruning": [[51, "Matching:-Better-thought-of-as-pruning"]], "The Cost of Matching": [[51, "The-Cost-of-Matching"]], "Causal Inference Assumptions": [[51, "Causal-Inference-Assumptions"]], "In Summary": [[51, "In-Summary"]], "Converting Stakeholder Prompts into Questions": [[52, "Converting-Stakeholder-Prompts-into-Questions"]], "What\u2019s The Real Problem / Need": [[52, "What's-The-Real-Problem-/-Need"]], "What Questions Do I Need To Ask?": [[52, "What-Questions-Do-I-Need-To-Ask?"]], "Make Your Questions Specific and Actionable": [[52, "Make-Your-Questions-Specific-and-Actionable"]], "Many Questions?": [[52, "Many-Questions?"]], "What to Read Next": [[52, "What-to-Read-Next"]], "Nick\u2019s Things to Think About Before A/B Testing": [[53, "Nick's-Things-to-Think-About-Before-A/B-Testing"]], "Step 0: Are You Sure You Should Do This?": [[53, "Step-0:-Are-You-Sure-You-Should-Do-This?"]], "Step 1: Define Your Goals": [[53, "Step-1:-Define-Your-Goals"]], "Step 2: Plan Implementation": [[53, "Step-2:-Plan-Implementation"]], "Step 3: Run!": [[53, "Step-3:-Run!"]], "Step 4: Check Internal Validity": [[53, "Step-4:-Check-Internal-Validity"]], "Step 5: Interpret Results": [[53, "Step-5:-Interpret-Results"]], "Step 6: Consider External Validity": [[53, "Step-6:-Consider-External-Validity"]], "Where To Find Public Data": [[54, "Where-To-Find-Public-Data"]], "Good Starting Points": [[54, "Good-Starting-Points"]], "Other Interesting Data Sources": [[54, "Other-Interesting-Data-Sources"]], "Data with a Spatial/GIS Component": [[54, "Data-with-a-Spatial/GIS-Component"]], "Public Satellite Data": [[54, "Public-Satellite-Data"]], "Other Lists of Data That Are Great": [[54, "Other-Lists-of-Data-That-Are-Great"]], "Reading Reflections": [[56, "Reading-Reflections"]], "Solutions": [[57, "Solutions"]], "Looking for the solutions?": [[58, "Looking-for-the-solutions?"]], "OK, if you are still interested in looking at the solutions\u2026": [[58, "OK,-if-you-are-still-interested-in-looking-at-the-solutions..."]], "Taxonomy of Questions": [[59, "Taxonomy-of-Questions"]], "Positive versus Normative Questions": [[59, "Positive-versus-Normative-Questions"]], "Descriptive Questions": [[59, "Descriptive-Questions"]], "Descriptive Example 1: Nope, This Time Isn\u2019t Different": [[59, "Descriptive-Example-1:-Nope,-This-Time-Isn't-Different"]], "Descriptive Example 3: Disease Surveillance": [[59, "Descriptive-Example-3:-Disease-Surveillance"]], "Descriptive Example 4: Global Warming": [[59, "Descriptive-Example-4:-Global-Warming"]], "Descriptive Questions and EDA": [[59, "Descriptive-Questions-and-EDA"]], "Last Thoughts": [[59, "Last-Thoughts"]], "Causal Questions and Prediction-with-Manipulation": [[59, "Causal-Questions-and-Prediction-with-Manipulation"]], "Why Causal Inference is Hard": [[59, "Why-Causal-Inference-is-Hard"]], "Causal Inference, Manipulations, and Prediction": [[59, "Causal-Inference,-Manipulations,-and-Prediction"]], "Classification Questions / Prediction-Without-Manipulation": [[59, "Classification-Questions-/-Prediction-Without-Manipulation"]], "\u201cWithout Manipulation\u201d?": [[59, "%22Without-Manipulation%22?"]], "Using Exploratory Questions to Better Understanding Your Problem": [[60, "Using-Exploratory-Questions-to-Better-Understanding-Your-Problem"]], "Your First Assignment": [[60, "Your-First-Assignment"]], "Part 2: Choosing a Problem": [[60, "Part-2:-Choosing-a-Problem"]], "Part 3: Specifying and Answering Questions": [[60, "Part-3:-Specifying-and-Answering-Questions"]], "Data": [[60, "Data"]], "Writing Data Science Report for Non-Technical Audiences": [[61, "Writing-Data-Science-Report-for-Non-Technical-Audiences"]], "Identify your audience": [[61, "Identify-your-audience"]], "Introduction / Executive Summary": [[61, "Introduction-/-Executive-Summary"]], "Your Design": [[61, "Your-Design"]], "Your Results": [[61, "Your-Results"]], "Conclusions": [[61, "Conclusions"]], "Appendix": [[61, "Appendix"]], "Class Schedule": [[4, "class-schedule"]]}, "indexentries": {}}) \ No newline at end of file +Search.setIndex({"docnames": ["DRAFT_ml_bias", "UDS_midterm_part2_2022", "backwards_design", "causal_inference_beyond_ab_testing", "class_schedule", "descriptive_questions", "endogenous_stopping", "ethical_ml_recommendations", "evaluating_real_studies", "exercises/discussion_exploratory", "exercises/discussion_regressions_incomeineq", "exercises/exercise_abtesting", "exercises/exercise_counterfactuals", "exercises/exercise_diffindiff", "exercises/exercise_evaluating_studies", "exercises/exercise_exploratory", "exercises/exercise_first_class_capstone_proposal", "exercises/exercise_generating_questions", "exercises/exercise_ghostmap_1", "exercises/exercise_ghostmap_2", "exercises/exercise_indicators", "exercises/exercise_interpretable", "exercises/exercise_matching", "exercises/exercise_optimalABthresholds", "exercises/exercise_panel", "exercises/exercise_passive_prediction", "exercises/exercise_potential_outcomes1", "exercises/exercise_potential_outcomes2", "exercises/exercise_regressions_incomeineq", "exercises/exercise_resume_experiment", "exercises/exercise_stakeholder_management", "exercises/exercise_taxonomy_of_questions", "exercises/setup_diffindiff", "exercises/solutions_descriptive", "exercises/solutions_diffindiff", "exercises/solutions_first_class_capstone_proposal", "exercises/solutions_indicators", "exercises/solutions_matching", "exercises/solutions_panel", "exercises/solutions_potential_outcomes1", "exercises/solutions_regressions_incomeineq", "exercises/solutions_resume", "fixed_effects", "fixed_effects_and_causal_inference", "fixed_effects_v_hierarchical", "how_to_read", "index", "internal_v_external_validity", "interpreting_indicator_vars", "limitations_of_ATE", "matching_how", "matching_why", "moving_from_problems_to_questions", "nick_ab_testing_checklist", "public_data", "pvalues_and_decision_making", "reading_reflections", "solutions", "solutions_warning", "taxonomy_of_questions", "team_assignments/UDS_TeamProject_Exploratory", "writing_to_stakeholders"], "filenames": ["DRAFT_ml_bias.ipynb", "UDS_midterm_part2_2022.ipynb", "backwards_design.ipynb", "causal_inference_beyond_ab_testing.ipynb", "class_schedule.rst", "descriptive_questions.ipynb", "endogenous_stopping.ipynb", "ethical_ml_recommendations.ipynb", "evaluating_real_studies.ipynb", "exercises/discussion_exploratory.ipynb", "exercises/discussion_regressions_incomeineq.ipynb", "exercises/exercise_abtesting.ipynb", "exercises/exercise_counterfactuals.ipynb", "exercises/exercise_diffindiff.ipynb", "exercises/exercise_evaluating_studies.ipynb", "exercises/exercise_exploratory.ipynb", "exercises/exercise_first_class_capstone_proposal.ipynb", "exercises/exercise_generating_questions.ipynb", "exercises/exercise_ghostmap_1.ipynb", "exercises/exercise_ghostmap_2.ipynb", "exercises/exercise_indicators.ipynb", "exercises/exercise_interpretable.ipynb", "exercises/exercise_matching.ipynb", "exercises/exercise_optimalABthresholds.ipynb", "exercises/exercise_panel.ipynb", "exercises/exercise_passive_prediction.ipynb", "exercises/exercise_potential_outcomes1.ipynb", "exercises/exercise_potential_outcomes2.ipynb", "exercises/exercise_regressions_incomeineq.ipynb", "exercises/exercise_resume_experiment.ipynb", "exercises/exercise_stakeholder_management.ipynb", "exercises/exercise_taxonomy_of_questions.ipynb", "exercises/setup_diffindiff.ipynb", "exercises/solutions_descriptive.ipynb", "exercises/solutions_diffindiff.ipynb", "exercises/solutions_first_class_capstone_proposal.ipynb", "exercises/solutions_indicators.ipynb", "exercises/solutions_matching.ipynb", "exercises/solutions_panel.ipynb", "exercises/solutions_potential_outcomes1.ipynb", "exercises/solutions_regressions_incomeineq.ipynb", "exercises/solutions_resume.ipynb", "fixed_effects.ipynb", "fixed_effects_and_causal_inference.ipynb", "fixed_effects_v_hierarchical.ipynb", "how_to_read.ipynb", "index.rst", "internal_v_external_validity.ipynb", "interpreting_indicator_vars.ipynb", "limitations_of_ATE.ipynb", "matching_how.ipynb", "matching_why.ipynb", "moving_from_problems_to_questions.ipynb", "nick_ab_testing_checklist.ipynb", "public_data.ipynb", "pvalues_and_decision_making.ipynb", "reading_reflections.ipynb", "solutions.ipynb", "solutions_warning.ipynb", "taxonomy_of_questions.ipynb", "team_assignments/UDS_TeamProject_Exploratory.ipynb", "writing_to_stakeholders.ipynb"], "titles": ["Backwards Design", "UDS Midterm 2022, Part 2", "Backwards Design", "Beyond The Experiment", "Class Schedule", "Researcher Discretion in Descriptive Analysis", "Peeking / Endogenous Stopping", "Recommendations for Responsible Machine Learning", "Evaluating Real Studies", "Discussion of Descriptive Exercises", "Interpreting Causal Effects of Gender", "A/B Testing the Udacity Website", "Counter-Factuals and Experimental Ideals", "Marijuana Legalization and Violent Crime", "Evaluating Studies", "Crime and Policing Expenditures Exploratory Questions", "Your First Stakeholder", "Converting Stakeholder Prompts into Actionable Questions", "Causality in the Time of Cholera", "Causality in the Time of Cholera", "Interpreting Indicator Variables", "Interpretable Modelling of Credit Risk", "Matching Exercise", "Optimal AB Testing Design", "Traffic Death Analysis", "Predicting Mortgage Delinquency Risk", "Making Potential Outcomes Concrete", "Making Potential Outcomes Concrete 2", "Estimating Gender Discrimination in the Workplace", "Resume Experiment Analysis", "Soliciting Information From Your Stakeholder", "Generating and Classifying Questions", "Groupby and Arrest Data", "Crime and Poverty Descriptive Analysis", "Groupby and Arrest Data", "Acme Corportation Solution", "Interpreting Indicator Variables", "Matching Exercise", "Traffic Death Analysis", "Making Potential Outcomes Concrete", "Estimating Gender Discrimination in the Workplace", "Resume Experiment Analysis", "Fixed Effects: Indicator Variables for Groups", "Fixed Effects and Causal Inference", "Fixed Effects and Hierarchical Models", "How to Read (Academic Edition)", "Welcome to Solving Problems with Data!", "Internal and External Validity", "Using and Interpreting Indicator (Dummy) Variables", "Limitations of Experiments (and Average Treatment Effects)", "How Matching is Done (A Summary)", "Matching", "Converting Stakeholder Prompts into Questions", "Nick\u2019s Things to Think About Before A/B Testing", "Where To Find Public Data", "<no title>", "Reading Reflections", "Solutions", "Looking for the solutions?", "Taxonomy of Questions", "Using Exploratory Questions to Better Understanding Your Problem", "Writing Data Science Report for Non-Technical Audiences"], "terms": {"i": [0, 1, 3, 5, 6, 9, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 53, 54, 56, 58, 60, 61], "wai": [0, 1, 2, 3, 5, 6, 7, 8, 9, 11, 12, 16, 22, 24, 25, 26, 27, 29, 30, 32, 35, 37, 38, 39, 41, 42, 43, 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16, 21, 22, 25, 27, 28, 29, 30, 32, 33, 34, 37, 40, 41, 42, 43, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 59, 60, 61], "neither": [1, 39, 48], "nor": [1, 45], "bachelor": [1, 29, 41], "assum": [1, 5, 7, 8, 14, 16, 21, 23, 24, 25, 28, 29, 36, 37, 38, 40, 41, 42, 43, 44, 46, 51, 52, 59, 61], "advanc": [1, 3, 7, 16, 22, 37, 46, 49, 53, 56], "master": [1, 15, 22, 28, 33, 34, 36, 37, 38, 40, 41, 42, 46, 47, 48], "doctor": [1, 27], "while": [1, 3, 5, 7, 8, 9, 11, 12, 13, 16, 21, 25, 29, 30, 31, 34, 37, 42, 45, 46, 47, 48, 49, 51, 54, 56, 59, 60], "number": [1, 11, 12, 13, 15, 16, 21, 22, 24, 25, 28, 29, 30, 32, 33, 34, 36, 37, 38, 40, 41, 42, 47], "encod": [1, 21, 25, 32, 33, 34, 36, 37, 42, 48], "implement": [1, 13, 21, 22, 24, 26, 29, 30, 34, 37, 38, 39, 40, 41, 50, 51], "properli": [1, 33, 47, 52, 59], "below": [1, 5, 7, 14, 16, 18, 19, 21, 22, 25, 26, 27, 28, 37, 39, 40, 42, 43, 47, 48, 51, 54, 59], "fine": [1, 5, 6, 7, 13, 34, 45, 47, 51, 56], "suggest": [1, 11, 23, 26, 39, 40, 41, 53], 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"could": [1, 2, 5, 7, 8, 11, 14, 16, 18, 19, 22, 25, 28, 29, 30, 31, 32, 37, 39, 40, 41, 42, 47, 48, 50, 52, 59, 61], "8": [1, 4, 26, 27, 32, 34, 39, 42, 48, 49], "add": [1, 5, 10, 11, 16, 21, 24, 28, 29, 32, 38, 40, 41, 42, 43, 48, 50, 60], "appar": [1, 6, 7, 22, 37, 45, 51], "compar": [1, 2, 3, 8, 10, 11, 13, 16, 18, 19, 22, 24, 25, 26, 28, 29, 30, 34, 35, 37, 38, 39, 40, 41, 49, 53, 59, 61], "9": [1, 4, 23, 26, 27, 32, 34, 36, 39, 48], "formula": [1, 34, 36, 37, 38, 40, 41, 42, 48], "omit": [1, 42, 48], "coeffici": [1, 2, 10, 20, 21, 22, 28, 29, 36, 37, 40, 42, 43, 48], "neg": [1, 2, 6, 11, 21, 25, 26, 29, 39, 48, 51], "chang": [1, 5, 11, 13, 15, 21, 22, 23, 26, 28, 30, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 43, 44, 46, 47, 48, 49, 51, 53, 59, 60, 61], "correl": [1, 5, 7, 8, 9, 12, 14, 15, 21, 24, 33, 34, 36, 38, 43, 44, 59], "explain": [1, 16, 20, 21, 24, 28, 29, 36, 38, 40, 42, 52, 56, 59, 61], "learn": [1, 3, 4, 5, 11, 13, 16, 17, 18, 21, 22, 30, 34, 37, 44, 45, 46, 47, 48, 52, 53, 56, 58, 59, 61], "wrong": [1, 5, 7, 8, 9, 21, 29, 32, 41, 48, 51, 56], "assumpt": [1, 3, 4, 7, 18, 19, 44, 47, 49, 56], "causal": [1, 3, 4, 8, 12, 15, 17, 22, 28, 33, 37, 40, 45, 46, 47, 56, 60, 61], "violat": [1, 8, 49], "11": [1, 4, 26, 27, 32, 33, 34, 36, 38, 39, 46, 48], "final": [2, 3, 5, 7, 11, 12, 13, 15, 21, 22, 23, 25, 28, 33, 34, 37, 40, 45, 46, 48, 50, 56, 59, 60, 61], "narrow": [2, 22, 30, 37], "small": [2, 3, 7, 13, 22, 25, 29, 33, 34, 37, 41, 44, 47, 49, 51, 53, 54], "conceptu": [2, 18, 26, 27, 39, 49], "framework": [2, 4, 7, 8, 11, 18, 19, 21, 29, 43, 49], "kei": [2, 16, 25, 29, 30, 32, 41, 45, 47, 61], "tractabl": 2, "meet": [2, 16, 17, 21, 26, 27, 30, 35, 39, 45, 46], "criteria": [2, 49], "directli": [2, 3, 18, 22, 25, 26, 27, 29, 37, 39, 41, 44, 48, 59], "approach": [2, 16, 24, 26, 38, 39, 42, 45, 46, 51, 52, 56, 59, 61], "seem": [2, 5, 7, 11, 12, 17, 22, 33, 37, 41, 45, 47, 48, 49, 51, 52, 53, 59], "vagu": [2, 52], "immedi": [2, 21, 28, 31, 40, 52, 59], 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36, 37, 40, 42, 43, 44, 48], "said": [2, 8, 41, 43, 47, 48, 49, 59, 60, 61], "prosector": 2, "shape": [2, 7, 21, 25, 30, 59], "reach": [2, 7, 49, 52, 61], "recommend": [2, 23, 32, 47, 61], "begin": [2, 7, 8, 11, 13, 15, 16, 22, 24, 25, 28, 30, 33, 34, 37, 38, 40, 42, 46, 59, 60, 61], "attribut": [2, 8, 11, 29, 36, 41, 47], "lab": [2, 22, 37, 47], "later": [2, 5, 11, 21, 28, 31, 40, 41, 42, 51, 59, 61], "diagnos": [2, 9], "mortem": 2, "ve": [2, 5, 7, 8, 9, 11, 14, 15, 17, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 29, 33, 37, 39, 40, 41, 42, 44, 45, 47, 48, 49, 50, 51, 52, 53, 54, 58, 59, 61], "clear": [2, 5, 6, 7, 11, 13, 22, 30, 31, 34, 37, 42, 46, 49, 52, 54, 56, 59, 60, 61], "second": [2, 3, 7, 9, 16, 21, 22, 25, 28, 29, 32, 37, 40, 41, 42, 44, 45, 47, 48, 52, 60, 61], "find": [2, 3, 5, 7, 8, 11, 12, 13, 14, 18, 19, 21, 22, 23, 25, 28, 29, 34, 37, 39, 40, 41, 43, 44, 45, 47, 48, 49, 51, 52, 56, 59, 60], "current": [2, 11, 14, 16, 22, 23, 25, 28, 37, 40, 42, 59], "comparison": [2, 7, 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37, 38, 40, 42, 54], "predictor": [2, 7, 16, 25], "diagnost": [2, 52, 61], "liter": [2, 5, 43, 48, 58], "ax": [2, 52], "etc": [2, 7, 11, 12, 16, 22, 25, 26, 27, 37, 39, 52, 53, 54, 59, 61], "turn": [2, 3, 7, 16, 20, 30, 36, 40, 42, 47, 48, 51, 59], "wasn": [2, 22, 29, 37, 41, 47], "suffici": [2, 8, 28, 40, 53], "show": [2, 3, 5, 6, 7, 8, 11, 21, 22, 24, 25, 30, 36, 37, 38, 41, 47, 48, 58, 59, 61], "ensur": [2, 5, 7, 11, 12, 16, 21, 22, 25, 29, 30, 37, 41, 45, 46, 47, 49, 53], "constitut": [2, 5, 8, 24, 29, 30, 32, 38, 41, 42, 52, 56, 59], "avoid": [2, 7, 21, 23, 25, 26, 27, 39, 47, 51, 52, 59], "told": [2, 5, 8, 18, 19, 52], "clearer": [2, 11], "written": [2, 12, 45, 59, 61], "hypothesi": [2, 11, 41, 48], "follow": [2, 3, 4, 5, 7, 11, 12, 16, 17, 20, 21, 24, 25, 28, 29, 30, 32, 36, 38, 40, 41, 42, 48, 49, 50, 51, 56, 59, 61], "true": [2, 5, 7, 8, 10, 11, 12, 21, 22, 26, 27, 28, 29, 32, 33, 34, 36, 37, 38, 39, 40, 41, 42, 44, 45, 48, 49, 52, 61], "fals": [2, 5, 21, 22, 25, 32, 33, 34, 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9, 24, 28, 29, 37, 38, 40, 42, 43, 53], "public": [2, 3, 5, 18, 19, 30, 40, 45, 47, 51, 52, 59, 60], "whom": [2, 21, 26, 43, 48, 51, 59, 61], "measur": [2, 3, 7, 8, 12, 22, 26, 27, 33, 37, 39, 40, 43, 44, 47, 53, 54, 59], "combin": [2, 4, 25, 40, 53], "similar": [2, 3, 7, 8, 11, 15, 16, 22, 28, 29, 32, 33, 37, 40, 41, 44, 45, 47, 48, 51, 53, 60, 61], "resourc": [2, 3, 7, 18, 19, 30, 40, 54, 58], "annual": [2, 22, 28, 37, 40, 42], "match": [2, 4, 32, 42, 47, 49, 57], "gender": [2, 5, 7, 11, 22, 29, 32, 37, 41, 42, 47, 48], "live": [2, 5, 8, 12, 49, 52], "nearli": [2, 7, 18, 19, 29, 30, 41], "guarante": [2, 7, 8, 59], "still": [2, 5, 7, 8, 21, 22, 25, 29, 37, 39, 41, 42, 52, 54], "wrangl": 2, "ahead": [2, 7, 21, 30, 54], "won": [2, 5, 7, 21, 23, 28, 38, 40, 47, 48, 49, 50], "templat": 2, "great": [2, 5, 6, 7, 8, 12, 16, 18, 22, 37, 45, 47, 50, 53, 56, 59], "superiv": 2, "access": [2, 7, 11, 29, 41, 54, 59], "pretti": [2, 3, 12, 17, 28, 40, 41], "nuanc": [2, 45, 61], "super": [2, 3, 41, 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"non": [46, 61], "mid": 46, "student": 46, "syllabu": 46, "intern": [47, 53], "extern": [47, 53], "consider": 47, "trade": 47, "off": 47, "between": [47, 48], "conclus": [47, 59, 61], "dummi": 48, "ar": [48, 53, 54, 58], "ONE": 48, "understand": [48, 60], "two": 48, "categori": 48, "more": 48, "than": 48, "constant": 48, "keep": 48, "straight": 48, "oper": 48, "multipl": 48, "averag": 49, "who": 49, "fine": 49, "print": 49, "ATE": 49, "sutva": 49, "done": 50, "summari": [50, 51, 61], "prune": [50, 51], "similar": 50, "should": [50, 53], "specif": [50, 52], "depend": 51, "imbal": 51, "better": [51, 60], "thought": [51, 59], "cost": 51, "In": 51, "mani": 52, "nick": 53, "think": 53, "about": 53, "befor": 53, "step": 53, "0": 53, "sure": 53, "goal": 53, "plan": 53, "run": 53, "result": [53, 61], "consid": 53, "find": 54, "public": 54, "start": 54, "point": 54, "interest": [54, 58], "sourc": 54, "spatial": 54, "gi": 54, "compon": 54, "satellit": 54, "list": 54, "great": 54, "reflect": 56, "ok": 58, "still": 58, "taxonomi": 59, "versu": 59, "norm": 59, "nope": 59, "diseas": 59, "surveil": 59, "global": 59, "warm": 59, "eda": 59, "last": 59, "manipul": 59, "hard": 59, "classif": 59, "without": 59, "assign": 60, "specifi": 60, "scienc": 61, "report": 61, "technic": 61, "audienc": 61, "introduct": 61, "execut": 61, "appendix": 61}, "envversion": {"sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "nbsphinx": 4, "sphinx": 60}, "alltitles": {"Backwards Design": [[0, "Backwards-Design"], [2, "Backwards-Design"]], "Overview": [[0, "Overview"], [2, "Overview"]], "1) Define Your Problem": [[0, "1)-Define-Your-Problem"], [2, "1)-Define-Your-Problem"]], "2) Define the Question You Wish to Answer": [[0, "2)-Define-the-Question-You-Wish-to-Answer"], [2, "2)-Define-the-Question-You-Wish-to-Answer"]], "A Digression on Supervised Machine Learning": [[0, "A-Digression-on-Supervised-Machine-Learning"], [2, "A-Digression-on-Supervised-Machine-Learning"]], "UDS Midterm 2022, Part 2": [[1, "UDS-Midterm-2022,-Part-2"]], "Estimating The Effect of Education on Employment": [[1, "Estimating-The-Effect-of-Education-on-Employment"]], "Getting to Know Your Data": [[1, "Getting-to-Know-Your-Data"]], "Subsetting for People over 25 in the Labor Force": [[1, "Subsetting-for-People-over-25-in-the-Labor-Force"]], "Measuring Education": [[1, "Measuring-Education"]], "Education and Employment": [[1, "Education-and-Employment"]], "Defining a Good Question": [[2, "Defining-a-Good-Question"]], "Why is Having a Good Question Important?": [[2, "Why-is-Having-a-Good-Question-Important?"]], "3) Write Down What An Answer Would Look Like": [[2, "3)-Write-Down-What-An-Answer-Would-Look-Like"]], "Falsifiability": [[2, "Falsifiability"]], "4) What Data Do You Need?": [[2, "4)-What-Data-Do-You-Need?"]], "5) Where Can You Get That Data?": [[2, "5)-Where-Can-You-Get-That-Data?"]], "Wrapping Up": [[2, "Wrapping-Up"]], "Beyond The Experiment": [[3, "Beyond-The-Experiment"]], "A/B Testing Isn\u2019t Always Feasible": [[3, "A/B-Testing-Isn't-Always-Feasible"]], "A/B Testing Isn\u2019t Always Legal or Ethical": [[3, "A/B-Testing-Isn't-Always-Legal-or-Ethical"]], "Going Beyond Testing for the Future": [[3, "Going-Beyond-Testing-for-the-Future"]], "Don\u2019t want to be limited": [[3, "Don't-want-to-be-limited"]], "Not enough to be able to do it; you must be able to explain it": [[3, "Not-enough-to-be-able-to-do-it;-you-must-be-able-to-explain-it"]], "Researcher Discretion in Descriptive Analysis": [[5, "Researcher-Discretion-in-Descriptive-Analysis"]], "Faithful Representation": [[5, "Faithful-Representation"]], "Choosing What To Ask and Present": [[5, "Choosing-What-To-Ask-and-Present"]], "Context": [[5, "Context"], [30, "Context"]], "Values": [[5, "Values"]], "Peeking / Endogenous Stopping": [[6, "Peeking-/-Endogenous-Stopping"]], "Recommendations for Responsible Machine Learning": [[7, "Recommendations-for-Responsible-Machine-Learning"]], "1. Choose Your Training Data Carefully": [[7, "1.-Choose-Your-Training-Data-Carefully"]], "2. Only Use Opaque Models When You Have To": [[7, "2.-Only-Use-Opaque-Models-When-You-Have-To"]], "3. Use Models with Functional Form Constraints": [[7, "3.-Use-Models-with-Functional-Form-Constraints"]], "4. Compare Predictions for Sub-Populations": [[7, "4.-Compare-Predictions-for-Sub-Populations"]], "5. \u201cNo\u201d is Always An Option": [[7, "5.-%22No%22-is-Always-An-Option"]], "Tools for Interpretable / Constrained Machine Learning": [[7, "Tools-for-Interpretable-/-Constrained-Machine-Learning"]], "Interpretable Models": [[7, "Interpretable-Models"]], "Tools for Neural Networks": [[7, "Tools-for-Neural-Networks"]], "Constrained Models": [[7, "Constrained-Models"]], "Tools for Introspection": [[7, "Tools-for-Introspection"]], "Evaluating Real Studies": [[8, "Evaluating-Real-Studies"]], "The Sun Is Bright for Dogs Too": [[8, "The-Sun-Is-Bright-for-Dogs-Too"]], "Evaluating Baseline Differences": [[8, "Evaluating-Baseline-Differences"]], "Why we need all three": [[8, "Why-we-need-all-three"]], "Evaulating Differential Treatment Effects": [[8, "Evaulating-Differential-Treatment-Effects"]], "What Comes Next?": [[8, "What-Comes-Next?"]], "Well this has been unsatisfying": [[8, "Well-this-has-been-unsatisfying"]], "Discussion of Descriptive Exercises": [[9, "Discussion-of-Descriptive-Exercises"]], "Exercise 8": [[9, "Exercise-8"], [11, "Exercise-8"], [15, "Exercise-8"], [20, "Exercise-8"], [21, "Exercise-8"], [22, "Exercise-8"], [24, "Exercise-8"], [25, "Exercise-8"], [28, "Exercise-8"], [36, "Exercise-8"], [37, "Exercise-8"], [38, "Exercise-8"], [40, "Exercise-8"], [41, "Exercise-8"], [29, "Exercise-8"]], "Takeaways": [[9, "Takeaways"]], "Absolutely positively need the solutions?": [[9, "Absolutely-positively-need-the-solutions?"], [20, "Absolutely-positively-need-the-solutions?"], [22, "Absolutely-positively-need-the-solutions?"], [24, "Absolutely-positively-need-the-solutions?"], [37, "Absolutely-positively-need-the-solutions?"]], "Interpreting Causal Effects of Gender": [[10, "Interpreting-Causal-Effects-of-Gender"]], "A/B Testing the Udacity Website": [[11, "A/B-Testing-the-Udacity-Website"]], "Udacity\u2019s Test": [[11, "Udacity's-Test"]], "Import the Data": [[11, "Import-the-Data"]], "Exercise 1": [[11, "Exercise-1"], [13, "Exercise-1"], [15, "Exercise-1"], [17, "Exercise-1"], [20, "Exercise-1"], [21, "Exercise-1"], [22, "Exercise-1"], [24, "Exercise-1"], [25, "Exercise-1"], [30, "Exercise-1"], [31, "Exercise-1"], [33, "Exercise-1"], [34, "Exercise-1"], [36, "Exercise-1"], [37, "Exercise-1"], [38, "Exercise-1"], [41, "Exercise-1"], [29, "Exercise-1"]], "Exercise 2": [[11, "Exercise-2"], [13, "Exercise-2"], [15, "Exercise-2"], [20, "Exercise-2"], [21, "Exercise-2"], [22, "Exercise-2"], [24, "Exercise-2"], [25, "Exercise-2"], [30, "Exercise-2"], [31, "Exercise-2"], [33, "Exercise-2"], [33, "id1"], [34, "Exercise-2"], [36, "Exercise-2"], [37, "Exercise-2"], [38, "Exercise-2"], [41, "Exercise-2"], [29, "Exercise-2"]], "Pick your measures": [[11, "Pick-your-measures"]], "Exercise 3": [[11, "Exercise-3"], [13, "Exercise-3"], [15, "Exercise-3"], [20, "Exercise-3"], [21, "Exercise-3"], [22, "Exercise-3"], [24, "Exercise-3"], [25, "Exercise-3"], [28, "Exercise-3"], [30, "Exercise-3"], [33, "Exercise-3"], [34, "Exercise-3"], [36, "Exercise-3"], [37, "Exercise-3"], [38, "Exercise-3"], [40, "Exercise-3"], [41, "Exercise-3"], [29, "Exercise-3"]], "Exercise 4": [[11, "Exercise-4"], [13, "Exercise-4"], [15, "Exercise-4"], [20, "Exercise-4"], [21, "Exercise-4"], [22, "Exercise-4"], [24, "Exercise-4"], [25, "Exercise-4"], [28, "Exercise-4"], [33, "Exercise-4"], [34, "Exercise-4"], [36, "Exercise-4"], [37, "Exercise-4"], [38, "Exercise-4"], [40, "Exercise-4"], [41, "Exercise-4"], [29, "Exercise-4"]], "Exercise 5": [[11, "Exercise-5"], [13, "Exercise-5"], [15, "Exercise-5"], [20, "Exercise-5"], [21, "Exercise-5"], [22, "Exercise-5"], [24, "Exercise-5"], [25, "Exercise-5"], [28, "Exercise-5"], [33, "Exercise-5"], [34, "Exercise-5"], [36, "Exercise-5"], [37, "Exercise-5"], [38, "Exercise-5"], [40, "Exercise-5"], [41, "Exercise-5"], [29, "Exercise-5"]], "Validating The Data": [[11, "Validating-The-Data"]], "Exercise 6": [[11, "Exercise-6"], [13, "Exercise-6"], [15, "Exercise-6"], [20, "Exercise-6"], [21, "Exercise-6"], [22, "Exercise-6"], [24, "Exercise-6"], [24, "id1"], [25, "Exercise-6"], [28, "Exercise-6"], [33, "Exercise-6"], [34, "Exercise-6"], [36, "Exercise-6"], [37, "Exercise-6"], [38, "Exercise-6"], [40, "Exercise-6"], [41, "Exercise-6"], [29, "Exercise-6"]], "Exercise 7": [[11, "Exercise-7"], [13, "Exercise-7"], [15, "Exercise-7"], [20, "Exercise-7"], [21, "Exercise-7"], [22, "Exercise-7"], [24, "Exercise-7"], [25, "Exercise-7"], [28, "Exercise-7"], [33, "Exercise-7"], [34, "Exercise-7"], [36, "Exercise-7"], [37, "Exercise-7"], [38, "Exercise-7"], [40, "Exercise-7"], [41, "Exercise-7"], [29, "Exercise-7"]], "Exercise 9": [[11, "Exercise-9"], [21, "Exercise-9"], [22, "Exercise-9"], [25, "Exercise-9"], [28, "Exercise-9"], [37, "Exercise-9"], [38, "Exercise-9"], [40, "Exercise-9"], [41, "Exercise-9"], [29, "Exercise-9"]], "Estimating the Effect of Experiment": [[11, "Estimating-the-Effect-of-Experiment"]], "Exercise 10": [[11, "Exercise-10"], [21, "Exercise-10"], [22, "Exercise-10"], [25, "Exercise-10"], [28, "Exercise-10"], [37, "Exercise-10"], [40, "Exercise-10"], [41, "Exercise-10"], [29, "Exercise-10"]], "Exercise 11": [[11, "Exercise-11"], [21, "Exercise-11"], [22, "Exercise-11"], [25, "Exercise-11"], [28, "Exercise-11"], [37, "Exercise-11"], [40, "Exercise-11"], [41, "Exercise-11"], [29, "Exercise-11"]], "Exercise 12": [[11, "Exercise-12"], [21, "Exercise-12"], [22, "Exercise-12"], [25, "Exercise-12"], [28, "Exercise-12"], [37, "Exercise-12"], [40, "Exercise-12"], [41, "Exercise-12"], [29, "Exercise-12"]], "Exercise 13": [[11, "Exercise-13"], [21, "Exercise-13"], [22, "Exercise-13"], [25, "Exercise-13"], [28, "Exercise-13"], [37, "Exercise-13"], [40, "Exercise-13"], [29, "Exercise-13"]], "Exercise 14": [[11, "Exercise-14"], [21, "Exercise-14"], [22, "Exercise-14"], [25, "Exercise-14"], [28, "Exercise-14"], [37, "Exercise-14"], [40, "Exercise-14"]], "Counter-Factuals and Experimental Ideals": [[12, "Counter-Factuals-and-Experimental-Ideals"]], "What is a Counterfactual?": [[12, "What-is-a-Counterfactual?"]], "What is a randomized experiment?": [[12, "What-is-a-randomized-experiment?"]], "Identifying Counter-Factuals": [[12, "Identifying-Counter-Factuals"]], "Exercise 1:": [[12, "Exercise-1:"], [28, "Exercise-1:"], [40, "Exercise-1:"]], "Exercise 2:": [[12, "Exercise-2:"], [17, "Exercise-2:"], [28, "Exercise-2:"], [40, "Exercise-2:"]], "Exercise 3:": [[12, "Exercise-3:"]], "Marijuana Legalization and Violent Crime": [[13, "Marijuana-Legalization-and-Violent-Crime"]], "Evaluating Studies": [[14, "Evaluating-Studies"]], "Study 1: Gym Memberships": [[14, "Study-1:-Gym-Memberships"]], "Study 2: Car Insurance": [[14, "Study-2:-Car-Insurance"]], "Study 3: Billboard": [[14, "Study-3:-Billboard"]], "Crime and Policing Expenditures Exploratory Questions": [[15, "Crime-and-Policing-Expenditures-Exploratory-Questions"]], "Exercises": [[15, "Exercises"]], "After you have answered\u2026": [[15, "After-you-have-answered..."], [33, "After-you-have-answered..."]], "Your First Stakeholder": [[16, "Your-First-Stakeholder"]], "The Proposal": [[16, "The-Proposal"]], "Your Task": [[16, "Your-Task"], [30, "Your-Task"]], "Converting Stakeholder Prompts into Actionable Questions": [[17, "Converting-Stakeholder-Prompts-into-Actionable-Questions"]], "Causality in the Time of Cholera": [[18, "Causality-in-the-Time-of-Cholera"], [19, "Causality-in-the-Time-of-Cholera"]], "Question 1:": [[18, "Question-1:"], [19, "Question-1:"]], "Question 2:": [[18, "Question-2:"], [19, "Question-2:"]], "Question 3:": [[18, "Question-3:"], [19, "Question-3:"]], "Question 4": [[18, "Question-4"], [19, "Question-4"]], "Question 5": [[18, "Question-5"], [19, "Question-5"]], "Question 6": [[18, "Question-6"], [19, "Question-6"]], "Question 7:": [[18, "Question-7:"], [19, "Question-7:"]], "Question 8:": [[18, "Question-8:"], [19, "Question-8:"]], "Question 9:": [[18, "Question-9:"], [19, "Question-9:"]], "Interpreting Indicator Variables": [[20, "Interpreting-Indicator-Variables"], [36, "Interpreting-Indicator-Variables"]], "Indicator Variables and Omitted Variable Bias": [[20, "Indicator-Variables-and-Omitted-Variable-Bias"], [36, "Indicator-Variables-and-Omitted-Variable-Bias"]], "Interaction Effects": [[20, "Interaction-Effects"], [36, "Interaction-Effects"]], "Interpretable Modelling of Credit Risk": [[21, "Interpretable-Modelling-of-Credit-Risk"]], "Data Prep": [[21, "Data-Prep"]], "Model Fitting": [[21, "Model-Fitting"]], "Let\u2019s See This Interpretability!": [[21, "Let's-See-This-Interpretability!"]], "Exercise 15": [[21, "Exercise-15"], [22, "Exercise-15"], [25, "Exercise-15"], [37, "Exercise-15"]], "Exercise 16": [[21, "Exercise-16"], [22, "Exercise-16"], [25, "Exercise-16"], [37, "Exercise-16"]], "Exercise 17": [[21, "Exercise-17"], [25, "Exercise-17"]], "Matching Exercise": [[22, "Matching-Exercise"], [37, "Matching-Exercise"]], "Matching Packages: Python v. R": [[22, "Matching-Packages:-Python-v.-R"], [37, "Matching-Packages:-Python-v.-R"]], "Installing dame-flame.": [[22, "Installing-dame-flame."], [37, "Installing-dame-flame."]], "Data Setup": [[22, "Data-Setup"], [37, "Data-Setup"]], "Getting To Know Your Data": [[22, "Getting-To-Know-Your-Data"], [37, "Getting-To-Know-Your-Data"]], "Matching!": [[22, "Matching!"], [37, "Matching!"]], "Let\u2019s Do Matching with DAME": [[22, "Let's-Do-Matching-with-DAME"], [37, "Let's-Do-Matching-with-DAME"]], "Interpreting DAME output": [[22, "Interpreting-DAME-output"], [37, "Interpreting-DAME-output"]], "Getting Back a Dataset": [[22, "Getting-Back-a-Dataset"], [37, "Getting-Back-a-Dataset"]], "Check Your Matches and Analyze": [[22, "Check-Your-Matches-and-Analyze"], [37, "Check-Your-Matches-and-Analyze"]], "Other Forms of Matching": [[22, "Other-Forms-of-Matching"], [37, "Other-Forms-of-Matching"]], "Optimal AB Testing Design": [[23, "Optimal-AB-Testing-Design"]], "The Experiment": [[23, "The-Experiment"]], "Question 2": [[23, "Question-2"]], "Question 3": [[23, "Question-3"]], "Traffic Death Analysis": [[24, "Traffic-Death-Analysis"], [38, "Traffic-Death-Analysis"]], "Fixed Effects by Demeaning": [[24, "Fixed-Effects-by-Demeaning"], [38, "Fixed-Effects-by-Demeaning"]], "Predicting Mortgage Delinquency Risk": [[25, "Predicting-Mortgage-Delinquency-Risk"]], "Gradescope Autograding": [[25, "Gradescope-Autograding"], [29, "Gradescope-Autograding"]], "Submission Limits": [[25, "Submission-Limits"], [29, "Submission-Limits"]], "Data Cleaning and Organization": [[25, "Data-Cleaning-and-Organization"]], "Modelling Delinquency Risk": [[25, "Modelling-Delinquency-Risk"]], "Now To The Future": [[25, "Now-To-The-Future"]], "Exercise 18": [[25, "Exercise-18"]], "Making Potential Outcomes Concrete": [[26, "Making-Potential-Outcomes-Concrete"], [39, "Making-Potential-Outcomes-Concrete"]], "The Study": [[26, "The-Study"], [27, "The-Study"], [39, "The-Study"]], "Mapping to the Potential Outcomes Framework": [[26, "Mapping-to-the-Potential-Outcomes-Framework"], [27, "Mapping-to-the-Potential-Outcomes-Framework"], [39, "Mapping-to-the-Potential-Outcomes-Framework"]], "Observability": [[26, "Observability"], [27, "Observability"], [39, "Observability"]], "Causal Inference": [[26, "Causal-Inference"], [27, "Causal-Inference"], [39, "Causal-Inference"]], "Making Potential Outcomes Concrete 2": [[27, "Making-Potential-Outcomes-Concrete-2"]], "Estimating Gender Discrimination in the Workplace": [[28, "Estimating-Gender-Discrimination-in-the-Workplace"], [40, "Estimating-Gender-Discrimination-in-the-Workplace"]], "Soliciting Information From Your Stakeholder": [[30, "Soliciting-Information-From-Your-Stakeholder"]], "Stakeholder Project Proposal": [[30, "Stakeholder-Project-Proposal"]], "A Data Analysis of Voting Access on College Campuses": [[30, "A-Data-Analysis-of-Voting-Access-on-College-Campuses"]], "Background": [[30, "Background"], [61, "Background"]], "Objectives": [[30, "Objectives"]], "Our Approach": [[30, "Our-Approach"]], "Generating and Classifying Questions": [[31, "Generating-and-Classifying-Questions"]], "Exploratory Question:": [[31, "Exploratory-Question:"], [31, "id1"]], "Passive-Predictive Question:": [[31, "Passive-Predictive-Question:"], [31, "id2"]], "Causal Question:": [[31, "Causal-Question:"], [31, "id3"]], "Groupby and Arrest Data": [[32, "Groupby-and-Arrest-Data"], [34, "Groupby-and-Arrest-Data"]], "Learning the Group Structure of Your Data": [[32, "Learning-the-Group-Structure-of-Your-Data"]], "Testing Your Assumptions": [[32, "Testing-Your-Assumptions"]], "Crime and Poverty Descriptive Analysis": [[33, "Crime-and-Poverty-Descriptive-Analysis"]], "Acme Corportation Solution": [[35, "Acme-Corportation-Solution"]], "Resume Experiment Analysis": [[41, "Resume-Experiment-Analysis"], [29, "Resume-Experiment-Analysis"]], "Checking for Balance": [[41, "Checking-for-Balance"], [29, "Checking-for-Balance"]], "Estimating Effect of Race": [[41, "Estimating-Effect-of-Race"], [29, "Estimating-Effect-of-Race"]], "Estimating Heterogeneous Effects": [[41, "Estimating-Heterogeneous-Effects"], [29, "Estimating-Heterogeneous-Effects"]], "What Did We Just Measure?": [[41, "What-Did-We-Just-Measure?"], [29, "What-Did-We-Just-Measure?"]], "Fixed Effects: Indicator Variables for Groups": [[42, "Fixed-Effects:-Indicator-Variables-for-Groups"]], "Implementing Fixed Effects": [[42, "Implementing-Fixed-Effects"]], "Clustering": [[42, "Clustering"]], "Computationally Efficient Fixed Effects": [[42, "Computationally-Efficient-Fixed-Effects"]], "Fixed Effects and Causal Inference": [[43, "Fixed-Effects-and-Causal-Inference"]], "Fixed Effects and Hierarchical Models": [[44, "Fixed-Effects-and-Hierarchical-Models"]], "Fixed Effects & Clustered Standard Errors": [[44, "Fixed-Effects-&-Clustered-Standard-Errors"]], "Things To Remember:": [[44, "Things-To-Remember:"]], "How to Read (Academic Edition)": [[45, "How-to-Read-(Academic-Edition)"]], "Read Actively": [[45, "Read-Actively"]], "Be Patient with Examples From Different Domains": [[45, "Be-Patient-with-Examples-From-Different-Domains"]], "Do NOT Summarize with LLMs": [[45, "Do-NOT-Summarize-with-LLMs"]], "Welcome to Solving Problems with Data!": [[46, "welcome-to-solving-problems-with-data"]], "Pre-Requisites for Non-MIDS Students": [[46, "pre-requisites-for-non-mids-students"]], "Syllabus": [[46, "syllabus"]], "Internal and External Validity": [[47, "Internal-and-External-Validity"]], "Internal Validity": [[47, "Internal-Validity"]], "External Validity": [[47, "External-Validity"]], "External Validity Considerations": [[47, "External-Validity-Considerations"]], "Trade-Offs Between Internal and External Validity": [[47, "Trade-Offs-Between-Internal-and-External-Validity"]], "Conclusion": [[47, "Conclusion"], [59, "Conclusion"]], "Using and Interpreting Indicator (Dummy) Variables": [[48, "Using-and-Interpreting-Indicator-(Dummy)-Variables"]], "What are indicator variables?": [[48, "What-are-indicator-variables?"]], "The ONE thing that you must understand when using indicator variables:": [[48, "The-ONE-thing-that-you-must-understand-when-using-indicator-variables:"]], "Indicator Variables with Two Category Variable": [[48, "Indicator-Variables-with-Two-Category-Variable"]], "Indicator Variables for variables with more than 2 categories": [[48, "Indicator-Variables-for-variables-with-more-than-2-categories"]], "Interactions with Constant Variables": [[48, "Interactions-with-Constant-Variables"]], "Keeping Things Straight": [[48, "Keeping-Things-Straight"]], "The * operator": [[48, "The-*-operator"]], "Interactions Between Multiple Indicator Variables": [[48, "Interactions-Between-Multiple-Indicator-Variables"]], "Fixed Effects": [[48, "Fixed-Effects"]], "Limitations of Experiments (and Average Treatment Effects)": [[49, "Limitations-of-Experiments-(and-Average-Treatment-Effects)"]], "Who\u2019s Average?": [[49, "Who's-Average?"]], "The Fine Print of ATE": [[49, "The-Fine-Print-of-ATE"]], "SUTVA": [[49, "SUTVA"]], "How Matching is Done (A Summary)": [[50, "How-Matching-is-Done-(A-Summary)"]], "Pruning Your Data": [[50, "Pruning-Your-Data"]], "Measuring Similarity": [[50, "Measuring-Similarity"]], "When Can / Should I Use Matching?": [[50, "When-Can-/-Should-I-Use-Matching?"]], "Checking Balance": [[50, "Checking-Balance"]], "Analyze!": [[50, "Analyze!"]], "Specific Models": [[50, "Specific-Models"]], "Matching": [[51, "Matching"]], "Model Dependency": [[51, "Model-Dependency"]], "Model Dependency, Causal Inference, and Imbalance": [[51, "Model-Dependency,-Causal-Inference,-and-Imbalance"]], "Matching: Better thought of as pruning": [[51, "Matching:-Better-thought-of-as-pruning"]], "The Cost of Matching": [[51, "The-Cost-of-Matching"]], "Causal Inference Assumptions": [[51, "Causal-Inference-Assumptions"]], "In Summary": [[51, "In-Summary"]], "Converting Stakeholder Prompts into Questions": [[52, "Converting-Stakeholder-Prompts-into-Questions"]], "What\u2019s The Real Problem / Need": [[52, "What's-The-Real-Problem-/-Need"]], "What Questions Do I Need To Ask?": [[52, "What-Questions-Do-I-Need-To-Ask?"]], "Make Your Questions Specific and Actionable": [[52, "Make-Your-Questions-Specific-and-Actionable"]], "Many Questions?": [[52, "Many-Questions?"]], "What to Read Next": [[52, "What-to-Read-Next"]], "Nick\u2019s Things to Think About Before A/B Testing": [[53, "Nick's-Things-to-Think-About-Before-A/B-Testing"]], "Step 0: Are You Sure You Should Do This?": [[53, "Step-0:-Are-You-Sure-You-Should-Do-This?"]], "Step 1: Define Your Goals": [[53, "Step-1:-Define-Your-Goals"]], "Step 2: Plan Implementation": [[53, "Step-2:-Plan-Implementation"]], "Step 3: Run!": [[53, "Step-3:-Run!"]], "Step 4: Check Internal Validity": [[53, "Step-4:-Check-Internal-Validity"]], "Step 5: Interpret Results": [[53, "Step-5:-Interpret-Results"]], "Step 6: Consider External Validity": [[53, "Step-6:-Consider-External-Validity"]], "Where To Find Public Data": [[54, "Where-To-Find-Public-Data"]], "Good Starting Points": [[54, "Good-Starting-Points"]], "Other Interesting Data Sources": [[54, "Other-Interesting-Data-Sources"]], "Data with a Spatial/GIS Component": [[54, "Data-with-a-Spatial/GIS-Component"]], "Public Satellite Data": [[54, "Public-Satellite-Data"]], "Other Lists of Data That Are Great": [[54, "Other-Lists-of-Data-That-Are-Great"]], "Reading Reflections": [[56, "Reading-Reflections"]], "Solutions": [[57, "Solutions"]], "Looking for the solutions?": [[58, "Looking-for-the-solutions?"]], "OK, if you are still interested in looking at the solutions\u2026": [[58, "OK,-if-you-are-still-interested-in-looking-at-the-solutions..."]], "Taxonomy of Questions": [[59, "Taxonomy-of-Questions"]], "Positive versus Normative Questions": [[59, "Positive-versus-Normative-Questions"]], "Descriptive Questions": [[59, "Descriptive-Questions"]], "Descriptive Example 1: Nope, This Time Isn\u2019t Different": [[59, "Descriptive-Example-1:-Nope,-This-Time-Isn't-Different"]], "Descriptive Example 3: Disease Surveillance": [[59, "Descriptive-Example-3:-Disease-Surveillance"]], "Descriptive Example 4: Global Warming": [[59, "Descriptive-Example-4:-Global-Warming"]], "Descriptive Questions and EDA": [[59, "Descriptive-Questions-and-EDA"]], "Last Thoughts": [[59, "Last-Thoughts"]], "Causal Questions and Prediction-with-Manipulation": [[59, "Causal-Questions-and-Prediction-with-Manipulation"]], "Why Causal Inference is Hard": [[59, "Why-Causal-Inference-is-Hard"]], "Causal Inference, Manipulations, and Prediction": [[59, "Causal-Inference,-Manipulations,-and-Prediction"]], "Classification Questions / Prediction-Without-Manipulation": [[59, "Classification-Questions-/-Prediction-Without-Manipulation"]], "\u201cWithout Manipulation\u201d?": [[59, "%22Without-Manipulation%22?"]], "Using Exploratory Questions to Better Understanding Your Problem": [[60, "Using-Exploratory-Questions-to-Better-Understanding-Your-Problem"]], "Your First Assignment": [[60, "Your-First-Assignment"]], "Part 2: Choosing a Problem": [[60, "Part-2:-Choosing-a-Problem"]], "Part 3: Specifying and Answering Questions": [[60, "Part-3:-Specifying-and-Answering-Questions"]], "Data": [[60, "Data"]], "Writing Data Science Report for Non-Technical Audiences": [[61, "Writing-Data-Science-Report-for-Non-Technical-Audiences"]], "Identify your audience": [[61, "Identify-your-audience"]], "Introduction / Executive Summary": [[61, "Introduction-/-Executive-Summary"]], "Your Design": [[61, "Your-Design"]], "Your Results": [[61, "Your-Results"]], "Conclusions": [[61, "Conclusions"]], "Appendix": [[61, "Appendix"]], "Class Schedule": [[4, "class-schedule"]]}, "indexentries": {}}) \ No newline at end of file diff --git a/source/class_schedule.csv b/source/class_schedule.csv index 25d2d24..b037939 100644 --- a/source/class_schedule.csv +++ b/source/class_schedule.csv @@ -42,15 +42,18 @@ Optional: - Read Chpt 4 in Cunningham from start (different presentation of potential outcomes)",`Exercise `_ "Thrs, Feb 29",Causal Questions: Experiments,"Experiments: Internal Validity (In Practice): -- Kohvani, Tang and Xu: Chpt 19 (A/A Testing) -- Kohvani, Tang and Xu: Chpt 21 (Guardrail Metrics) - - Kohavi, Tang and Xu: Chpt 3, ""Threats to Internal Validity"" (p. 42-47) - - Different Randomizations: KTX Chpt 22", + +- Kohvani, Tang and Xu: Chpt 2 (End to End Example) +- Kohavi, Tang and Xu: Chpt 3, ""Threats to Internal Validity"" (p. 42-47) +- Kohvani, Tang and Xu: Chpt 19 (A/A Testing)", "Tues, Mar 5",Causal Questions: Experiments,"Experiments: External Validity (In Practice): + +- Finishing Internal Validity: Different Randomizations: KTX Chpt 22 - Kohavi, Tang and Xu, Chpt 3, ""Threats to External Validity"" to end (p. 47-54) - Kohvai, Tang and Xu, Chpt 23 (Primacy Effects / Long Term Decay)", "Thrs, Mar 7",Causal Questions: Experiments,"Experiments: Interpretation -- P-Values + +- P-Values - Kohavi, Tang and Xu, Chpt 3 up to ""Threats to Internal Validity"" (p. 39-42) - `Don't stop experiments early! `_ - `...unless you use these methods `_ diff --git a/source/class_schedule_xlsx.xlsx b/source/class_schedule_xlsx.xlsx index 0a663ab..f73bde4 100644 Binary files a/source/class_schedule_xlsx.xlsx and b/source/class_schedule_xlsx.xlsx differ