A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials
From MaRDI portal
Publication:6625580
DOI10.1002/sim.8062zbMATH Open1545.62594MaRDI QIDQ6625580
Publication date: 28 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Markov chain Monte Carlogeneralized linear modelpattern mixture modelfully conditional specificationskew-normal and skew-t regressiontipping point analysis
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- 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)
Related Items (1)
This page was built for publication: A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials