2 papers
stat.ME2026
Jeffreys-Type Penalized GEE for Correlated Binary Data with an Odds-Ratio Parameterization
Anestis Touloumis
Generalized estimating equations (GEE) are widely used for population-averaged inference on correlated binary responses, but ordinary GEE can fail under separation, a situation tha…
stat.ME2026
Bias-Reduced GEE via Adjusted Estimating Equations, with Odds-Ratio Extensions
Anestis Touloumis
Generalized estimating equations (GEE) are widely used for correlated data, but with small to moderate numbers of independent clusters the ordinary GEE regression estimators can be…