Adjusting for Non-Response in Population-Based Case-Control Studies.

Summary In this paper we discuss the analysis of data from population-based case-control studies when there is appreciable non-response. We develop a class of estimating equations that are relatively easy to implement. For some important special cases, we also provide efficient semi-parametric maximum-likelihood methods. We compare the methods in a simulation study based on data from the Women's Cardiovascular Health Study discussed in Arbogast et al. (Estimating incidence rates from population-based case-control studies in the presence of non-respondents, Biometrical Journal 44, 227-239, 2002). [ABSTRACT FROM AUTHOR]