title: Reader reaction on the generalized Kruskal-Wallis test for genetic association studies incorporating group uncertainty.
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.
authors.affiliation: Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, U.S.A.
authors.forename: Baolin
authors.initials: B
authors.lastname: Wu
authors.affiliation: Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota 55455, U.S.A.
authors.forename: Weihua
authors.initials: W
authors.lastname: Guan
mesh_terms: D001699:Biometry / Q000379:methods*; D056726:Genetic Association Studies / Q000706:statistics & numerical data*; D006801:Humans
keywords: Kruskal-Wallis test; Linear model; Score test; Wald test