Literature DB >> 25351417

Reader reaction on the generalized Kruskal-Wallis test for genetic association studies incorporating group uncertainty.

Baolin Wu1, Weihua Guan1.   

Abstract

Acar and Sun (2013, Biometrics 69, 427-435) presented a generalized Kruskal-Wallis (GKW) test for genetic association studies that incorporated the genotype uncertainty and showed its robust and competitive performance compared to existing methods. We present another interesting way to derive the GKW test via a rank linear model.
© 2014, The International Biometric Society.

Entities:  

Keywords:  Kruskal-Wallis test; Linear model; Score test; Wald test

Mesh:

Year:  2014        PMID: 25351417      PMCID: PMC4454617          DOI: 10.1111/biom.12260

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  2 in total

1.  Exploiting gene-environment interaction to detect genetic associations.

Authors:  Peter Kraft; Yu-Chun Yen; Daniel O Stram; John Morrison; W James Gauderman
Journal:  Hum Hered       Date:  2007-02-02       Impact factor: 0.444

2.  A generalized Kruskal-Wallis test incorporating group uncertainty with application to genetic association studies.

Authors:  Elif F Acar; Lei Sun
Journal:  Biometrics       Date:  2013-02-26       Impact factor: 2.571

  2 in total
  1 in total

1.  A generalized robust allele-based genetic association test.

Authors:  Lin Zhang; Lei Sun
Journal:  Biometrics       Date:  2021-05-04       Impact factor: 1.701

  1 in total

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