One-sided tests in clinical trials with multiple endpoints.
Treatment comparisons in clinical trials often involve several endpoints. For example, one might wish to demonstrate that a new treatment is superior to the current standard for some components of the multivariate response vector and is not inferior, modulo biologically unimportant difference to the standard treatment for all other components. We introduce a new approach to multiple-endpoint testing that incorporates the essential univariate and multivariate features of the treatment effects. This approach is compared with existing methods in a simulation study and applied to data on rheumatoid arthritis patients receiving one of two treatments.
Bloch
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DA
HRP-Biostatistics, Stanford, California 94305, USA. dbloch@leland.stanford.edu
Lai
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TL
Tubert-Bitter
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P
D001172:Arthritis, Rheumatoid / Q000188:drug therapy / Q000503:physiopathology; D001699:Biometry; D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D004185:Disability Evaluation; D006801:Humans; D015233:Models, Statistical; D015999:Multivariate Analysis