Literature DB >> 30899120

Modified Wilcoxon-Mann-Whitney Test and Power against Strong Null.

Youyi Fong1, Ying Huang1.   

Abstract

The Wilcoxon-Mann-Whitney (WMW) test is a popular rank-based two-sample testing procedure for the strong null hypothesis that the two samples come from the same distribution. A modified WMW test, the Fligner-Policello (FP) test, has been proposed for comparing the medians of two populations. A fact that may be underappreciated among some practitioners is that the FP test can also be used to test the strong null like the WMW. In this paper we compare the power of the WMW and FP tests for testing the strong null. Our results show that neither test is uniformly better than the other and that there can be substantial differences in power between the two choices. We propose a new, modified WMW test that combines the WMW and FP tests. Monte Carlo studies show that the combined test has good power compared to either the WMW and FP test. We provide a fast implementation of the proposed test in an open-source software. Supplementary materials are available online.

Entities:  

Keywords:  Behrens-Fisher problem; Mann-Whitney U test; Wilcoxon rank sum test; two-sample location problem; unequal variances

Year:  2018        PMID: 30899120      PMCID: PMC6422344          DOI: 10.1080/00031305.2017.1328375

Source DB:  PubMed          Journal:  Am Stat        ISSN: 0003-1305            Impact factor:   8.710


  4 in total

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Journal:  Pediatrics       Date:  2000-01       Impact factor: 7.124

2.  Probabilistic index: an intuitive non-parametric approach to measuring the size of treatment effects.

Authors:  Laura Acion; John J Peterson; Scott Temple; Stephan Arndt
Journal:  Stat Med       Date:  2006-02-28       Impact factor: 2.373

3.  Maternal HIV-1 envelope-specific antibody responses and reduced risk of perinatal transmission.

Authors:  Sallie R Permar; Youyi Fong; Nathan Vandergrift; Genevieve G Fouda; Peter Gilbert; Robert Parks; Frederick H Jaeger; Justin Pollara; Amanda Martelli; Brooke E Liebl; Krissey Lloyd; Nicole L Yates; R Glenn Overman; Xiaoying Shen; Kaylan Whitaker; Haiyan Chen; Jamie Pritchett; Erika Solomon; Emma Friberg; Dawn J Marshall; John F Whitesides; Thaddeus C Gurley; Tarra Von Holle; David R Martinez; Fangping Cai; Amit Kumar; Shi-Mao Xia; Xiaozhi Lu; Raul Louzao; Samantha Wilkes; Saheli Datta; Marcella Sarzotti-Kelsoe; Hua-Xin Liao; Guido Ferrari; S Munir Alam; David C Montefiori; Thomas N Denny; M Anthony Moody; Georgia D Tomaras; Feng Gao; Barton F Haynes
Journal:  J Clin Invest       Date:  2015-06-08       Impact factor: 14.808

4.  Time-dependent predictive accuracy in the presence of competing risks.

Authors:  P Saha; P J Heagerty
Journal:  Biometrics       Date:  2010-12       Impact factor: 2.571

  4 in total
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1.  Metagenomic-Metabolomic Mining of Kinema, a Naturally Fermented Soybean Food of the Eastern Himalayas.

Authors:  Pynhunlang Kharnaior; Jyoti Prakash Tamang
Journal:  Front Microbiol       Date:  2022-04-29       Impact factor: 6.064

  1 in total

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