Evaluating treatment effects in group sequential multivariate longitudinal studies with covariate adjustment.

ABSTRACT: Jeffries et al. (2018) investigated testing for a treatment difference in the setting of a randomized clinical trial with a single outcome measured longitudinally over a series of common follow-up times while adjusting for covariates. That paper examined the null hypothesis of no difference at any follow-up time versus the alternative of a difference for at least one follow-up time. We extend those results here by considering multivariate outcome measurements, where each individual outcome is examined at common follow-up times. We consider the case where there is interest in first testing for a treatment difference in a global function of the outcomes (e.g., weighted average or sum) with subsequent interest in examining the individual outcomes, should the global function show a treatment d

SUBMITTER: Jeffries NO 

PROVIDER: S-EPMC9986831 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature