Marginal proportional hazards models for clustered interval-censored data with time-dependent covariates.

ABSTRACT: The Botswana Combination Prevention Project was a cluster-randomized HIV prevention trial whose follow-up period coincided with Botswana's national adoption of a universal test and treat strategy for HIV management. Of interest is whether, and to what extent, this change in policy modified the preventative effects of the study intervention. To address such questions, we adopt a stratified proportional hazards model for clustered interval-censored data with time-dependent covariates and develop a composite expectation maximization algorithm that facilitates estimation of model parameters without placing parametric assumptions on either the baseline hazard functions or the within-cluster dependence structure. We show that the resulting estimators for the regression parameters are consistent

SUBMITTER: Cook K 

PROVIDER: S-EPMC11971730 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature