A general regression framework for a secondary outcome in case-control studies.

ABSTRACT: Modern case-control studies typically involve the collection of data on a large number of outcomes, often at considerable logistical and monetary expense. These data are of potentially great value to subsequent researchers, who, although not necessarily concerned with the disease that defined the case series in the original study, may want to use the available information for a regression analysis involving a secondary outcome. Because cases and controls are selected with unequal probability, regression analysis involving a secondary outcome generally must acknowledge the sampling design. In this paper, the author presents a new framework for the analysis of secondary outcomes in case-control studies. The approach is based on a careful re-parameterization of the conditional model for the s

SUBMITTER: Tchetgen Tchetgen EJ 

PROVIDER: S-EPMC3983430 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature