A two-step method for variable selection in the analysis of a case-cohort study.

ABSTRACT:

Background

Accurate detection and estimation of true exposure-outcome associations is important in aetiological analysis; when there are multiple potential exposure variables of interest, methods for detecting the subset of variables most likely to have true associations with the outcome of interest are required. Case-cohort studies often collect data on a large number of variables which have not been measured in the entire cohort (e.g. panels of biomarkers). There is a lack of guidance on methods for variable selection in case-cohort studies.

Methods

We describe and explore the application of three variable selection methods to data from a case-cohort study. These are: (i) selecting variables based on their level of significance in univariable (i.e. one-at-a-time) Prentice-

SUBMITTER: Newcombe PJ 

PROVIDER: S-EPMC5913627 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature