Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure

DOI10.1198/016214504000001411zbMath1117.62426OpenAlexW2013014498MaRDI QIDQ5754840

Samiran Sinha, Bhramar Mukherjee, Malay Ghosh, Bani. K. Mallick, Raymond J. Carroll

Publication date: 20 August 2007

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

Full work available at URL: https://doi.org/10.1198/016214504000001411

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (13)

A new semiparametric procedure for matched case-control studies with missing covariates ⋮ On selecting a prior for the precision parameter of Dirichlet process mixture models ⋮ Empirical and weighted conditional likelihoods for matched case-control studies with missing covariates ⋮ Modeling Unobserved Sources of Heterogeneity in Animal Abundance Using a Dirichlet Process Prior ⋮ Missing Exposure Data in Stereotype Regression Model: Application to Matched Case-Control Study with Disease Subclassification ⋮ Semiparametric approaches for matched case-control studies with error-in-covariates ⋮ A Semiparametric Missing-Data-Induced Intensity Method for Missing Covariate Data in Individually Matched Case-Control Studies ⋮ Case-Control Studies of Gene-Environment Interaction: Bayesian Design and Analysis ⋮ Analysis of Matched Case–Control Data in Presence of Nonignorable Missing Exposure ⋮ Nonparametric Bayes modeling for case control studies with many predictors ⋮ Handling missing data in matched case‐control studies using multiple imputation ⋮ An estimated-score approach for dealing with missing covariate data in matched case-control studies ⋮ Bayesian Semiparametric Modeling for Matched Case–Control Studies with Multiple Disease States

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