A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials

DOI10.1002/sim.8062zbMATH Open1545.62594MaRDI QIDQ6625580

Yongqiang Tang

Publication date: 28 October 2024

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

zbMATH Keywords

Markov chain Monte Carlogeneralized linear modelpattern mixture modelfully conditional specificationskew-normal and skew-t regressiontipping point analysis

Mathematics Subject Classification ID

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

Cites Work

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• An efficient monotone data augmentation algorithm for Bayesian analysis of incomplete longitudinal data
• Partially parametric techniques for multiple imputation
• Simple marginally noninformative prior distributions for covariance matrices
• Bayesian inference for the skewness parameter of the scalar skew-normal distribution
• Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models
• Penalising model component complexity: a principled, practical approach to constructing priors
• A note on reference priors for the scalar skew-normal distribution
• Survival Analysis Using Auxiliary Variables Via Multiple Imputation, with Application to AIDS Clinical Trial Data
• Multiple Imputation After 18+ Years
• Fully conditional specification in multivariate imputation
• Objective Bayesian analysis for the Student-t regression model
• Gibbs Sampling for Bayesian Non-Conjugate and Hierarchical Models by Using Auxiliary Variables
• Multivariate Student-t regression models: Pitfalls and inference
• Intent-to-Treat Analysis for Longitudinal Studies with Drop-Outs
• Generalised Gibbs sampler and multigrid Monte Carlo for Bayesian computation
• Parameter Expansion for Data Augmentation
• On the multiple imputation variance estimator for control‐based and delta‐adjusted pattern mixture models
• Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
• Adaptive Rejection Sampling for Gibbs Sampling
• Objective Bayesian Analysis of Skew‐t Distributions
• Multilevel models with multivariate mixed response types
• Behaviour of the Gibbs sampler when conditional distributions are potentially incompatible
• A Simulation Study Comparing Multiple Imputation Methods for Incomplete Longitudinal Ordinal Data
• Bayesian Analysis of Binary and Polychotomous Response Data
• On the stationary distribution of iterative imputations
• Multiple imputation of discrete and continuous data by fully conditional specification
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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