Estimation of the adjusted cause-specific cumulative probability using flexible regression models for the cause-specific hazards.

ABSTRACT: In competing risks setting, we account for death according to a specific cause and the quantities of interest are usually the cause-specific hazards (CSHs) and the cause-specific cumulative probabilities. A cause-specific cumulative probability can be obtained with a combination of the CSHs or via the subdistribution hazard. Here, we modeled the CSH with flexible hazard-based regression models using B-splines for the baseline hazard and time-dependent (TD) effects. We derived the variance of the cause-specific cumulative probabilities at the population level using the multivariate delta method and showed how we could easily quantify the impact of a covariate on the cumulative probability scale using covariate-adjusted cause-specific cumulative probabilities and their difference. We conduct

SUBMITTER: Kipourou DK 

PROVIDER: S-EPMC6771712 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature