Thomas Lumley • 1/27/2017

Case-control sampling and pseudo-Rsquareds

Read Original

This technical article addresses the challenge of computing pseudo-R-squared statistics (Nagelkerke, Cox-Snell, Tjur) for logistic regression models fitted to complex survey data, such as case-control designs. It explains how standard calculations are biased under informative sampling and proposes design-based versions using survey weights to estimate population-level model fit, with links to a preprint and code.

0 comments
#statistics #Logistic Regression #Case Control Study
Case-control sampling and pseudo-Rsquareds

Comments

No comments yet

Be the first to share your thoughts!

Browser Extension

Get instant access to AllDevBlogs from your browser

Top of the Week

1
React, useEffect, and Stale Closures: How to Avoid Them with Dependencies and useRef
Jivbcoop • 4 votes
2
Better react-hook-form Smart Form Components
Maarten Hus • 2 votes
3
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook • 1 votes
4
Quoting Thariq Shihipar
Simon Willison • 1 votes
5
Dew Drop – January 15, 2026 (#4583)
Alvin Ashcraft • 1 votes
6
Using Browser Apis In React Practical Guide
Jivbcoop • 1 votes