Optimal designs for discrete-time survival models with competing risks.

ABSTRACT: Current methodological research on randomized controlled trial design has predominantly focused on studies with a single primary endpoint. However, many trials in practice involve multiple competing target events. The optimal designs for survival trials with competing target events have not been systematically addressed in the statistical literature. This paper fills this significant gap by developing design methodologies for randomized discrete-time-to-event trials with competing endpoints. We derive the Fisher information matrix for the general discrete-time survival model (DTSM) by transforming the original discrete-time survival data into proper multinomial responses. By introducing a cost-based generalized [Formula: see text]-optimal design criterion, we identify various types of opti

SUBMITTER: Zhou X 

PROVIDER: S-EPMC12950086 | biostudies-literature | 2026 Feb

REPOSITORIES: biostudies-literature