Nonparametric Covariate-Adjusted Association Tests Based on the Generalized Kendall's Tau

DOI10.1080/01621459.2011.643707zbMath1328.62603OpenAlexW2154777493WikidataQ36054661 ScholiaQ36054661MaRDI QIDQ4916434

Yuan Jiang, Wensheng Zhu, Heping Zhang

Publication date: 22 April 2013

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

Full work available at URL: http://europepmc.org/articles/pmc3381868

zbMATH Keywords

comorbiditymultiple traitsordinal traitsenvironmental factorfamily-based association testmaximum test statistic

Mathematics Subject Classification ID

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

Related Items (6)

A nonparametric regression method for multiple longitudinal phenotypes using multivariate adaptive splines ⋮ Covariate-adjusted multiple testing in genome-wide association studies via factorial hidden Markov models ⋮ A novel association test for rare variants based on algebraic statistics ⋮ Covariate-modulated large-scale multiple testing under dependence ⋮ Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence ⋮ Assessing Partial Association Between Ordinal Variables: Quantification, Visualization, and Hypothesis Testing

Cites Work

• A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables
• Why do we test multiple traits in genetic association studies?
• Modeling Multivariate Survival Data by a Semiparametric Random Effects Proportional Odds Model
• A Partially Linear Tree-based Regression Model for Multivariate Outcomes
• An Association Test for Multiple Traits Based on the Generalized Kendall’s Tau
• Relations between Weak and Uniform Convergence of Measures with Applications

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