A Bayesian approach for two-stage multivariate Mendelian randomization with mixed outcomes

DOI10.1002/SIM.9721zbMATH Open1545.62291MaRDI QIDQ6625763

Chris J. O'Callaghan, Author name not available (Why is that?), Wei Xu, Geoffrey Liu, Dongsheng Tu, Derek J. Jonker, Jeremy F. Shapiro, Christos S. Karapetis

Publication date: 28 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

Bayesian analysismultivariate analysisMetropolis-Hastings algorithmMendelian randomizationgenetic instrumental variablemixed outcome

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Modeling hybrid traits for comorbidity and genetic studies of alcohol and nicotine co-dependence
• Identification of Causal Effects Using Instrumental Variables
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Response models for mixed binary and quantitative variables
• A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
• Bayes Factors
• Mendelian randomization as an instrumental variable approach to causal inference
• Monte Carlo sampling methods using Markov chains and their applications
• Multivariate Correlation Models with Mixed Discrete and Continuous Variables

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