Testing for center effects on survival and competing risks outcomes using pseudo-value regression.

ABSTRACT: In multi-center studies, the presence of a cluster effect leads to correlation among outcomes within a center and requires different techniques to handle such correlation. Testing for a cluster effect can serve as a pre-screening step to help guide the researcher towards the appropriate analysis. With time to event data, score tests have been proposed which test for the presence of a center effect on the hazard function. However, sometimes researchers are interested in directly modeling other quantities such as survival probabilities or cumulative incidence at a fixed time. We propose a test for the presence of a center effect acting directly on the quantity of interest using pseudo-value regression, and derive the asymptotic properties of our proposed test statistic. We examine the perfor

SUBMITTER: Wang Y 

PROVIDER: S-EPMC6320737 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature