Decreased Susceptibility of Marginal Odds Ratios to Finite-sample Bias
Parameters representing adjusted treatment effects may be defined marginally or conditionally on covariates. The choice between a marginal or covariate-conditional parameter should be driven by the study question. However, an unappreciated benefit of marginal estimators is a reduction in susceptibility to finite-sample bias relative to the unpenalized maximum likelihood estimator of the covariate-
https://www.lupop.lu.se/article/decreased-susceptibility-marginal-odds-ratios-finite-sample-bias - 2025-10-27
