Semiparametric Bayesian modeling of random genetic effects in family‐based association studies
Zhang L, Mukherjee B, Hu B, Moreno V, Cooney K. Semiparametric Bayesian modeling of random genetic effects in family‐based association studies. Statistics In Medicine 2008, 28: 113-139. PMID: 18792083, PMCID: PMC2684653, DOI: 10.1002/sim.3413.Peer-Reviewed Original ResearchConceptsRandom effects distributionRandom effects parametersBayesian approachProblem of estimating covarianceSensitive to parametric specificationSemiparametric Bayesian modelNonparametric Bayesian approachFixed covariate effectsFlexible Bayesian approachEffective distributionIntegrated likelihoodDirichlet processCovariate effectsNonparametric modelBayesian paradigmParametric specificationHierarchical Bayesian paradigmBayes methodologyInference problemSimulation studyRandom genetic effectsComputational advantagesCorrelation structureNumerical integration schemeTheoretical sense