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 | ||
dc.identifier | 0962280216680524 | |
dc.identifier.eissn | 1477-0334 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | SAGE Publications | |
dc.relation.ispartof | Stat Methods Med Res | |
dc.relation.isversionof | 10.1177/0962280216680524 | |
dc.subject | Missing data | |
dc.subject | censored-by-death | |
dc.subject | composite endpoints | |
dc.subject | multiple endpoints | |
dc.subject | survivor bias | |
dc.subject | 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 | ||
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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