Bayesian methods for genetic association analysis with heterogeneous subgroups: from meta-analyses to gene-environment interactions
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Publication:2453662
DOI10.1214/13-AOAS695zbMath1454.62418arXiv1111.1210WikidataQ36093411 ScholiaQ36093411MaRDI QIDQ2453662
Xiaoquan Wen, Matthew Stephens
Publication date: 10 June 2014
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1111.1210
Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Bayesian inference (62F15) Genetics and epigenetics (92D10)
Related Items (5)
Bayesian Genome- and Epigenome-Wide Association Studies with Gene Level Dependence ⋮ A Bayesian Subset Specific Approach to Joint Selection of Multiple Graphical Models ⋮ Bayesian methods for genetic association analysis with heterogeneous subgroups: from meta-analyses to gene-environment interactions ⋮ Unnamed Item ⋮ Bayesian model selection in complex linear systems, as illustrated in genetic association studies
Uses Software
Cites Work
- Karl Pearson's meta-analysis revisited
- Laplace approximations for hypergeometric functions with matrix argument
- Dealing with heterogeneity between cohorts in genomewide SNP association studies
- Bayesian methods for genetic association analysis with heterogeneous subgroups: from meta-analyses to gene-environment interactions
- Bayes Methods for Combining the Results of Cancer Studies in Humans and Other Species
- Properties of Bayes Factors Based on Test Statistics
- Random Effects Models for Combining Results from Controlled and Uncontrolled Studies in a Meta-Analysis
- Bayesian methods in meta-analysis and evidence synthesis
- Bayes Factors Based on Test Statistics
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