An optimal Wilcoxon-Mann-Whitney test of mortality and a continuous outcome.

dc.contributor.author

Matsouaka, Roland A

dc.contributor.author

Singhal, Aneesh B

dc.contributor.author

Betensky, Rebecca A

dc.coverage.spatial

England

dc.date.accessioned

2017-01-04T19:27:01Z

dc.date.issued

2016-01-01

dc.description.abstract

We consider a two-group randomized clinical trial, where mortality affects the assessment of a follow-up continuous outcome. Using the worst-rank composite endpoint, we develop a weighted Wilcoxon-Mann-Whitney test statistic to analyze the data. We determine the optimal weights for the Wilcoxon-Mann-Whitney test statistic that maximize its power. We derive a formula for its power and demonstrate its accuracy in simulations. Finally, we apply the method to data from an acute ischemic stroke clinical trial of normobaric oxygen therapy.

dc.identifier

http://www.ncbi.nlm.nih.gov/pubmed/27920364

dc.identifier

0962280216680524

dc.identifier.eissn

1477-0334

dc.identifier.uri

https://hdl.handle.net/10161/13352

dc.language

eng

dc.publisher

SAGE Publications

dc.relation.ispartof

Stat Methods Med Res

dc.relation.isversionof

10.1177/0962280216680524

dc.subject

Missing data

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censored-by-death

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composite endpoints

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multiple endpoints

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survivor bias

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weighted Wilcoxon–Mann–Whitney test

dc.title

An optimal Wilcoxon-Mann-Whitney test of mortality and a continuous outcome.

dc.type

Journal article

duke.contributor.orcid

Matsouaka, Roland A|0000-0002-0271-5400

pubs.author-url

http://www.ncbi.nlm.nih.gov/pubmed/27920364

pubs.begin-page

962280216680524

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Biostatistics & Bioinformatics

pubs.organisational-group

Duke

pubs.organisational-group

Duke Clinical Research Institute

pubs.organisational-group

Institutes and Centers

pubs.organisational-group

School of Medicine

pubs.publication-status

Published online

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