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Anthony Damico edited this page Aug 10, 2024 · 8 revisions

  1. TITLE OF PRESENTATION

    Analyze Survey Data for Free (asdfree.com) Public Microdata From An Easy to Type Website

  2. NAME(S) AND ADDRESS(ES) OF INSTRUCTOR(S): List by presentation order. Email and office phone and fax numbers are to be included. It is essential that the Education Department at ASA is notified of any changes that occur between the time of submission and the time of presentation.

    Anthony Damico

  3. ABSTRACT: Provide an abstract not to exceed 200 words of the proposed course including the prerequisite for the anticipated audience. If the course is selected, this abstract will be used for advertising purposes in the registration material and on the JSM web site. Prerequisite knowledge or assumptions regarding the background of the attendees must be included in the abstract. If the abstract is more than 200 words, it will be edited by ASA.

    Governments, NGOs, and other research institutes spend billions of dollars each year collecting demographic, economic, and health information about their populations. These efforts form the basis of many official reports, academic journal articles, and public health surveillance systems, each of which motivate public policy or inform the public to varying degrees. Though dependent on the sensitivity of the topic, these sponsoring organizations often publish household-level, person-level, or company-level datasets alongside their final, summary report. This response-level data (commonly known as microdata) allows external researchers both to reproduce the original findings and also to more deeply focus on segments of the population perhaps not discussed in the data products released by the authors of the original investigation. For example, the Census Bureau publishes an annual report, "Income and Poverty in the United States" with a series of tables, and also a database with one record per individual within each sampled households. While the Bureau helpfully provides many different cross-tabulations of their results, an external researcher might find utility in this dataset by investigating other groups (such as different age cutoffs or dollar thresholds), and so the public microdata files allow continued research where it otherwise might end. The website http://asdfree.com/ offers obsessively-detailed instructions to analyze a wide variety of publicly-available datasets using the R language. This resource generally contains three core components, each with step-by-step instructions: (1) Download automation or data acquisition; (2) Helpfully-noted analysis examples; (3) Replication of published estimates to prove correct methodology.

  4. OUTLINE: Provide a detailed outline of the entire program. Describe what will occur during each segment. DO NOT INCLUDE chapters of an upcoming book. Provide a description of the target audience.

    30 minute lecture as introduction to complex sampling:

     A road trip in the NHANES mobile examination center and why survey datasets are not simple random samples

    30 minute discussion of experience with datasets:

     Selecting from the list of available datasets on http://asdfree.com/ participants will discuss their experience using any of these datasets, and what research questions they have answered (or would like to answer) with any of the datasets (instructor takes notes for post-break discussion)

    30 minute whole class review of one http://asdfree.com/ entry, based on whichever dataset participants have most familiarity with. If you understand any of these entries, then you understand all of these entries

    BREAK FOR SNACKS

    30 minute discussion of future research goal topics:

     Prior to break, all participants have shared one research question or topic that they are professionally interested in.  Now instructor will discuss appropriate datasets for those research questions..
 
 For example, I am personally interested in health insurance coverage in the United States.
 	* SIPP interviews individuals every year for multiple years, and asks about every single month of coverage
 	* CPS interviews individuals with the full ASEC one time, asking for health insurance at the point of interview and also monthly through the prior year.  CPS also asks many labor force questions.
 	* NHIS asks about health insurance only at the single interview, but also asks many health status and health behavior questions
 	* BRFSS asks about health insurance only at the single interview, but also asks many health behavior questions
 	* Many other surveys ask about health insurance (perhaps go down the list) but some do a better job than others at distinguishing Medicare from Medicaid from Obamacare from Employer-Sponsored Insurance and also some surveys do a better job than others at understanding any gaps in coverage

    60+ minute hands-on session selecting any dataset from the list of available datasets on http://asdfree.com/ participants will follow a single entry from start to finish

  5. LEARNING OUTCOMES: The following must be included in your proposal:

(a) Learning outcomes (performance objectives): The proposal must include a clear and concise statement of intended learning outcomes for the course. Learning outcomes are statements that identify what knowledge, skills and/or attitudes attendees are expected to accomplish/demonstrate as a result of the course. The attainment of the stated learning outcomes will be assessed as part of the CE Course evaluation process at the conclusion of the course so it is imperative that the presenter teach to these objectives.

(b) Content and instructional methods: The presenter must include a description of course content and instructional strategies based on the learning outcomes (performance objectives).

  1. INSTRUCTORS(s): Paragraph highlighting instructor’s background and experience with subject. DO NOT include resumes and/or curriculum vitae.

    Anthony Damico is an Independent Consultant who conducts data analysis for health care policy research. He has published in peer-reviewed policy and methods journals using the R, SAS, Stata, and SUDAAN statistical programming languages. Prior to becoming an independent consultant, he was with the Kaiser Family Foundation in Washington, D.C. Anthony holds a Bachelor’s degree in Mathematics from Oberlin College and a Masters in Health Policy from Johns Hopkins University.

  2. AUDIO-VISUAL EQUIPMENT: Each presentation will be provided with one screen, one data projector and one lavaliere microphone. A flip chart and second screen are available at no extra charge upon request. Presenters desiring additional AV equipment are responsible for additional equipment expense. Details are available upon request.

    Presenter will just need a projector and wifi for laptop

    Participants will need a laptop with wifi and R installed

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