A Rank-Based Test for Comparison of Multidimensional Outcomes

DOI10.1198/jasa.2010.ap09114zbMath1392.62322OpenAlexW2044351681WikidataQ35008112 ScholiaQ35008112MaRDI QIDQ5255290

Chunling Liu, Kai Yu, Yu, Kai Fun, Qizhai Li, Aiyi Liu

Publication date: 15 June 2015

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3102319

zbMATH Keywords

case-control studiesnonparametricsmultiple outcomesBehrens-Fisher problemautism spectrum disorderrank-sum statisticscardioprotective solutiongrowth hormones

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

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A nonparametric test for the evaluation of group sequential clinical trials with covariate information ⋮ Maximum test for a sequence of quadratic form statistics about score test in logistic regression model ⋮ Testing high-dimensional nonparametric Behrens-Fisher problem ⋮ Summation of absolute value test for multiple outcome comparison with moderate effect ⋮ A flexible test for early-stage studies with multiple endpoints ⋮ Rank-based test for partial functional linear regression models ⋮ On the Behrens–Fisher problem from the spatial median point of view

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