A multivariate family-based association test using generalized estimating equations: FBAT-GEE
From MaRDI portal
Publication:5701186
DOI10.1093/biostatistics/4.2.195zbMath1139.62317OpenAlexW2152304413WikidataQ45289835 ScholiaQ45289835MaRDI QIDQ5701186
Edwin K. Silverman, Scott T. Weiss, Xin Xu, Christoph Lange, Nan M. Laird
Publication date: 2 November 2005
Published in: Biostatistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biostatistics/4.2.195
Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Testing in survival analysis and censored data (62N03)
Related Items (11)
A nonparametric regression method for multiple longitudinal phenotypes using multivariate adaptive splines ⋮ Leveraging local identity-by-descent increases the power of case/control GWAS with related individuals ⋮ Testing and Estimating Gene-Environment Interactions in Family-Based Association Studies ⋮ Statistical analysis in genetic studies of mental illnesses ⋮ The role of family-based designs in genome-wide association studies ⋮ Methods for analyzing multivariate phenotypes in genetic association studies ⋮ Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence ⋮ A Partially Linear Tree-based Regression Model for Multivariate Outcomes ⋮ Why do we test multiple traits in genetic association studies? ⋮ Empirical null and false discovery rate inference for exponential families ⋮ Discussion: Why do we test multiple traits in genetic association studies?
This page was built for publication: A multivariate family-based association test using generalized estimating equations: FBAT-GEE
