Abstract Details
Activity Number:
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537
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Type:
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Contributed
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Date/Time:
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Wednesday, August 7, 2013 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #310025 |
Title:
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A Generalized Kruskal-Wallis Test Incorporating Group Uncertainty with Application to Genetic Association Studies
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Author(s):
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Elif Acar*+ and Lei Sun
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Companies:
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University of Manitoba and University of Toronto
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Keywords:
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Genome-wide association studies ;
Imputation ;
k-sample problem ;
Nonparametric tests ;
Probabilistic data ;
Ranks
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Abstract:
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Motivated by genetic association studies of SNPs with genotype uncertainty, we propose a generalization of the Kruskal-Wallis test that incorporates group uncertainty when comparing k samples. The extended test statistic is based on probability-weighted rank-sums and follows an asymptotic chi-square distribution with k-1 degrees of freedom under the null hypothesis. Simulation studies confirm the validity and robustness of the proposed test in finite samples. Application to a genome-wide association study of type 1 diabetic complications further demonstrates the utilities of this generalized Kruskal-Wallis test for studies with group uncertainty.
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Authors who are presenting talks have a * after their name.
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