Resampling-based methods for the analysis of multiple endpoints in clinical trials

Autor: G. Wassmer, Peter Reitmeir
Rok vydání: 1999
Předmět:
Zdroj: Statistics in Medicine. 18:3453-3462
ISSN: 1097-0258
0277-6715
DOI: 10.1002/(sici)1097-0258(19991230)18:24<3453::aid-sim283>3.0.co;2-z
Popis: We consider multivariate tests for comparing two treatments with multiple endpoints. The test decision is drawn from the simultaneous consideration of the univariate tests for the single endpoints. A general class of these tests, called cut-off tests, can be given, which, however, can lead to highly conservative procedures because the dependencies among the endpoints are not taken into account. In applying resampling-based methods considerable improvements for these tests can be achieved. Resampling-based cut-off tests are proposed which are sensitive against a treatment difference in a single endpoint, in a subgroup of endpoints, or in all endpoints. The results of Monte Carlo simulations demonstrate that a remarkable gain in statistical power as compared to the crude simultaneous consideration can be reached. In particular, for the multivariate one-sided test situation the proposed tests can be recommended. As an example the application of the tests is demonstrated by data from a clinical trial.
Databáze: OpenAIRE
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