Performance of Cox regression models for composite time-to-event endpoints with component-wise censoring in randomized trials.

ABSTRACT:

Background

Composite time-to-event endpoints are beneficial for assessing related outcomes jointly in clinical trials, but components of the endpoint may have different censoring mechanisms. For example, in the PRagmatic EValuation of evENTs And Benefits of Lipid-lowering in oldEr adults (PREVENTABLE) trial, the composite outcome contains one endpoint that is right censored (all-cause mortality) and two endpoints that are interval censored (dementia and persistent disability). Although Cox regression is an established method for time-to-event outcomes, it is unclear how models perform under differing component-wise censoring schemes for large clinical trial data. The goal of this article is to conduct a simulation study to investigate the performance of Cox models under different s

SUBMITTER: Speiser JL 

PROVIDER: S-EPMC10524851 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature