Bayesian semiparametric analysis for two-phase studies of gene-environment interaction

DOI10.1214/12-AOAS599zbMath1454.62308arXiv1305.5695OpenAlexW2077942806WikidataQ37604090 ScholiaQ37604090MaRDI QIDQ1951549

Jaeil Ahn, Malay Ghosh, Bhramar Mukherjee, Stephen B. Gruber

Publication date: 6 June 2013

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1305.5695

zbMATH Keywords

Dirichlet priorcolorectal cancerspike and slab priorbiased samplingexposure enriched samplinggene-environment independencejoint effectsmultivariate categorical distribution

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (3)

Effects of gene-environment and gene-gene interactions in case-control studies: a novel Bayesian semiparametric approach ⋮ Bayesian semiparametric analysis for two-phase studies of gene-environment interaction ⋮ Semiparametric nonlinear regression for detecting gene and environment interactions

Uses Software

• CODA
• Survey
• CGEN

Cites Work

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• Experimental proposal for testing the emergence of environment induced (EIN) classical selection rules with biological systems
• Inference from iterative simulation using multiple sequences
• Bayesian semiparametric analysis for two-phase studies of gene-environment interaction
• A Multiphase Design Strategy for Dealing with Participation Bias
• Case-Control Studies of Gene-Environment Interaction: Bayesian Design and Analysis
• Logistic analysis in case-control studies under validation sampling
• Sampling the Dirichlet Mixture Model with Slices
• Exploiting Gene‐Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes‐Type Shrinkage Estimator to Trade‐Off between Bias and Efficiency
• Efficient estimation in multi-phase case-control studies
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Logistic regression for two-stage case-control data
• Bayesian Variable Selection in Linear Regression
• The Estimation of Choice Probabilities from Choice Based Samples
• Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Fitting regression models to case-control data by maximum likelihood
• Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection
• A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
• Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
• A Bayesian Hierarchical Approach for Combining Case‐Control and Prospective Studies
• A mean score method for missing and auxiliary covariate data in regression models
• Simplex Factor Models for Multivariate Unordered Categorical Data
• Nonparametric Bayes Modeling of Multivariate Categorical Data
• Multiply Robust Inference for Statistical Interactions
• Maximum Likelihood Inference On A Mixed Conditionally and Marginally Specified Regression Model for Genetic Epidemiologic Studies with Two-Phase Sampling
• Hierarchical Models for Combining Ecological and Case–Control Data
• Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies
• Contribution to the Theory of Sampling Human Populations
• A Generalization of Sampling Without Replacement From a Finite Universe

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