Estimating the hazard rate difference from case-cohort studies.

ABSTRACT: The case-cohort design, among many two-phase sampling designs, substantially reduces the cost of an epidemiological study by selecting more informative participants within the full cohort for expensive variable measurements. Despite their benefits, additive hazards models, which estimate hazard differences, have rarely been used for the analysis of case-cohort studies due to the lack of software and application examples. In this paper, we describe a newly developed estimation method that fits the additive hazards models to general two-phase sampling studies along with the R package addhazard that implements it. It allows for missing covariates among cases, cohort stratification, robust variances, and the incorporation of auxiliary information from the full cohort to enhance inference preci

SUBMITTER: Hu JK 

PROVIDER: S-EPMC12001820 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature