Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

parameter interpretation can be misleading for clm #855

Closed
strengejacke opened this issue Mar 12, 2023 · 1 comment
Closed

parameter interpretation can be misleading for clm #855

strengejacke opened this issue Mar 12, 2023 · 1 comment
Labels
Consistency 🍏 🍎 Expected output across functions could be more similar

Comments

@strengejacke
Copy link
Member

strengejacke commented Mar 12, 2023

Great. Just a heads-up: in clm() and other discrete choice models, when scale effects are included, which do not measure log-odds, coefficients in location and intercept parameters no longer measure log-odds directly, and exp(coef) are no longer odds ratios. So the following parameter interpretation can be misleading.
Parameter | Log-Odds | SE | 95% CI | z | p

Originally posted by @MrJerryTAO in easystats/insight#727 (comment)

@strengejacke strengejacke added the Consistency 🍏 🍎 Expected output across functions could be more similar label Mar 14, 2023
@DrJerryTAO
Copy link

DrJerryTAO commented Mar 16, 2023

Thanks, @strengejacke. Intercepts do not measure log-odds per se either, if any scale parameter coefficients are present, as intercepts and location parameters are all in the numerator divided by exp(scale parameters linear combination) and this quotient is on the log-odds scale.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Consistency 🍏 🍎 Expected output across functions could be more similar
Projects
None yet
Development

No branches or pull requests

2 participants