Generalized pairwise comparisons of prioritized outcomes in the two-sample problem

This paper extends the idea behind the U‐statistic of the Wilcoxon–Mann–Whitney test to perform generalized pairwise comparisons between two groups of observations. The observations are outcomes captured by a single variable, possibly repeatedly measured, or by several variables of any type (e.g. di...

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Bibliographic Details
Published in:Statistics in medicine Vol. 29; no. 30; pp. 3245 - 3257
Main Author: Buyse, Marc
Format: Journal Article
Language:English
Published: Chichester, UK John Wiley & Sons, Ltd 30.12.2010
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ISSN:0277-6715, 1097-0258, 1097-0258
Online Access:Get full text
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Summary:This paper extends the idea behind the U‐statistic of the Wilcoxon–Mann–Whitney test to perform generalized pairwise comparisons between two groups of observations. The observations are outcomes captured by a single variable, possibly repeatedly measured, or by several variables of any type (e.g. discrete, continuous, time to event). When several outcomes are considered, they must be prioritized. We show that generalized pairwise comparisons extend well‐known non‐parametric tests, and illustrate their interest using data from two randomized clinical trials. We also show that they lead to a general measure of the difference between the groups called the ‘proportion in favor of treatment’, denoted Δ, which is related to traditional measures of treatment effect for a single variable. Copyright © 2010 John Wiley & Sons, Ltd.
Bibliography:ArticleID:SIM3923
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ISSN:0277-6715
1097-0258
1097-0258
DOI:10.1002/sim.3923