Bayesian modeling of missing data in clinical research

DOI10.1016/j.csda.2004.06.006zbMath1429.62488OpenAlexW2091698451WikidataQ57266862 ScholiaQ57266862MaRDI QIDQ957248

Peter C. Austin, Michael D. Escobar

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.06.006

zbMATH Keywords

Bayesian analysismissing dataclinical research

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Missing data (62D10)

Related Items (1)

Dealing with missing data based on data envelopment analysis and halo effect

Cites Work

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• Logistic regression with missing values in the covariates
• Bayesian Tobit Modeling of Longitudinal Ordinal Clinical Trial Compliance Data With Nonignorable Missingness
• Indicator and Stratification Methods for Missing Explanatory Variables in Multiple Linear Regression
• Inference and missing data
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• A Bayesian Framework for Intent-to-Treat Analysis with Missing Data
• A Bayesian Procedure for Imputing Missing Values in Sample Surveys

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