Unknown

Dataset Information

Nonparametric tests of treatment effect based on combined endpoints for mortality and recurrent events.


ABSTRACT: Terminal events are commonly combined with other outcomes to improve the power for detecting treatment effects in clinical studies. This manuscript explores novel ways to combine information on terminal and recurrent events in constructing two-sample tests. Existing approaches follow either a time-to-first event analysis approach or a recurrent event modeling approach. Nonparametric recurrent event analyses are often restricted by independence assumptions on gap times between events. Although time-to-first event analyses are not subject to this restriction, they discard information that occurs beyond the initial event and are much less powerful for detecting treatment differences. We develop two new approaches for determining treatment effects, motivated by less restrictive assumptions of

SUBMITTER: Tayob N 

PROVIDER: S-EPMC4263220 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature