Bayesian analysis of differential effects in multi-group regression methods

DOI10.1177/1471082X19881844OpenAlexW2990966461WikidataQ126671871 ScholiaQ126671871MaRDI QIDQ3389303

Geert Verbeke, Luk Bruyneel, Adrian Quintero, Emmanuel Lesaffre

Publication date: 10 May 2021

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x19881844

zbMATH Keywords

MCMC methodslatent variablemultiple groupsdifferential effectsfull interaction model

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• JAGS

Cites Work

• Unnamed Item
• Optimal predictive model selection.
• A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
• A comment on D. V. Lindley's statistical paradox
• The Calculation of Posterior Distributions by Data Augmentation
• Bayesian Variable Selection in Linear Regression
• Bayesian Subset Analysis
• A Statistical Framework for Expression-Based Molecular Classification in Cancer
• A Bayesian subgroup analysis using collections of ANOVA models
• A Bayesian credible subgroups approach to identifying patient subgroups with positive treatment effects
• Bayesian Biostatistics
• Spike and Slab Gene Selection for Multigroup Microarray Data
• Linear mixed models for longitudinal data
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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