Case–control genome-wide joint association study using semiparametric empirical model and approximate Bayes factor

DOI10.1080/00949655.2011.654119zbMath1431.62515OpenAlexW2007951489WikidataQ37579293 ScholiaQ37579293MaRDI QIDQ5218860

Ao Yuan, Jinfeng Xu, Gang Zheng

Publication date: 6 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.654119

zbMATH Keywords

robustnessempirical likelihoodprofile likelihoodside informationassociation studyHardy-Weinberg equilibriumgenetic modelapproximate Bayes factor

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Point estimation (62F10)

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Empirical likelihood-based robust tests for genetic association analysis with quantitative traits

Cites Work

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• Empirical likelihood ratio confidence intervals for a single functional
• Logistic disease incidence models and case-control studies
• Censored Regression: Local Linear Approximations and Their Applications
• On Profile Likelihood
• Bayes Factors
• Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies

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