On the robustness of weighted methods for fitting models to case–control data

Journal of the Royal Statistical Society: Series B (Statistical Methodology) · 2002 · Volume 64 · Issue 2

Abstract

Summary.We compare the robustness under model misspecification of two approaches to fitting logistic regression models with unmatched case–control data. One is the standard survey approach based on weighted versions of population estimating equations. The other is the likelihood-based approach that is standard in medical applications. The conventional view is that the (less efficient) survey-weighted approach leads to greater robustness. We conclude that this view is not always justified.

Keywords

Case–control studies, Horvitz–Thompson estimator, Logistic regression, Semiparametric maximum likelihood, Survey weights

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