General Relative Rate Models for the Analysis of Studies Using Case-Cohort Designs.

ABSTRACT: A standard approach to analysis of case-cohort data involves fitting log-linear models. In this paper, we describe how standard statistical software can be used to fit a broad class of general relative rate models to case-cohort data and derive confidence intervals. We focus on a case-cohort design in which a roster has been assembled and events ascertained but additional information needs to be collected on explanatory variables. The additional information is ascertained just for persons who experience the event of interest and for a sample of the cohort members enumerated at study entry. One appeal of such a case-cohort design is that this sample of the cohort may be used to support analyses of several outcomes. The ability to fit general relative rate models to case-cohort data may allo

SUBMITTER: Richardson DB 

PROVIDER: S-EPMC8045475 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature