Software Application Profile: CaseCohortCoxSurvival-an R package for case-cohort inference for relative hazard and pure risk under the Cox model.

ABSTRACT:

Motivation

The case-cohort design only requires covariate measurements for individuals experiencing the outcome of interest (cases) and individuals in a subcohort randomly selected from the cohort. Stratified subcohort sampling and calibration of the design weights increase efficiency of relative hazard and pure risk estimates, but require specifically adapted variance estimators. Yet, the 'robust' variance formula is often inappropriately used with stratified case-cohort data. Also, weight calibration and pure risk estimation are underused, possibly because of the lack of convenient software.

Implementation

An influence-based method for inference of case-cohort Cox model relative hazards and pure risks is implemented in the CaseCohortCoxSurvival R package.

General featur

SUBMITTER: Etievant L 

PROVIDER: S-EPMC11882301 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature