Bayesian methods for generalized linear models with covariates missing at random

From MaRDI portal
Publication:3148212

DOI10.2307/3315865zbMath0999.62021OpenAlexW2061062996MaRDI QIDQ3148212

Ming-Hui Chen, Joseph G. Ibrahim, Stuart R. Lipsitz

Publication date: 3 December 2002

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315865



Related Items

Bayesian methods for dealing with missing data problems, Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models, Bayesian adaptive Lasso for quantile regression models with nonignorably missing response data, Full conditional distributions for Bayesian multilevel models with additive or interactive effects and missing data on covariates, Missing data methods in longitudinal studies: a review, Two-stage communication-efficient distributed sparse M-estimation with missing data, Bayesian Truncated Poisson Regression with Application to Dutch Illegal Immigrant Data, Bayesian Scalar on Image Regression With Nonignorable Nonresponse, Communication-efficient distributed \(M\)-estimation with missing data, Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates, A Pseudo‐Bayesian Shrinkage Approach to Regression with Missing Covariates, Bayesian Analysis of Nonlinear Reproductive Dispersion Mixed Models for Longitudinal Data with Nonignorable Missing Covariates, Marginalized transition random effect models for multivariate longitudinal binary data, On modeling repeated binary responses and time-dependent missing covariates, On Inverse Probability Weighting for Nonmonotone Missing at Random Data, Semiparametric Models for Missing Covariate and Response Data in Regression Models, Subsample Ignorable Likelihood for Regression Analysis with Missing Data, Semiparametric estimation in regression with missing covariates using single-index models



Cites Work