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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Vydáno v:	Statistics in medicine Ročník 29; číslo 30; s. 3245 - 3257
Hlavní autor:	Buyse, Marc
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Chichester, UK John Wiley & Sons, Ltd 30.12.2010 Wiley Subscription Services, Inc
Témata:	Antineoplastic Combined Chemotherapy Protocols - therapeutic use Aptamers, Nucleotide - therapeutic use Clinical trials Colorectal Neoplasms - drug therapy Comparative analysis Disease-Free Survival Fluorouracil - therapeutic use generalized pairwise comparisons Humans Leucovorin - therapeutic use Macular Degeneration - drug therapy measure of treatment effect Measurement techniques Medical treatment Organoplatinum Compounds - therapeutic use prioritized outcomes randomization test Randomized Controlled Trials as Topic - methods Statistics Statistics as Topic - methods Treatment Outcome Visual Acuity - drug effects
ISSN:	0277-6715, 1097-0258, 1097-0258
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Shrnutí:	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.
Bibliografie:	ArticleID:SIM3923 istex:6DEFA8087C23381304F02F80246A8B58B7A2E65C ark:/67375/WNG-JVCZL2CD-8 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23
ISSN:	0277-6715 1097-0258 1097-0258
DOI:	10.1002/sim.3923