A comparison of analytical strategies for cluster randomized trials with survival outcomes in the presence of competing risks.

ABSTRACT: While statistical methods for analyzing cluster randomized trials with continuous and binary outcomes have been extensively studied and compared, little comparative evidence has been provided for analyzing cluster randomized trials with survival outcomes in the presence of competing risks. Motivated by the Strategies to Reduce Injuries and Develop Confidence in Elders trial, we carried out a simulation study to compare the operating characteristics of several existing population-averaged survival models, including the marginal Cox, marginal Fine and Gray, and marginal multi-state models. For each model, we found that adjusting for the intraclass correlations through the sandwich variance estimator effectively maintained the type I error rate when the number of clusters is large. With no mo

SUBMITTER: Li F 

PROVIDER: S-EPMC10518064 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature