A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates-Reference-Cited by-同舟云学术

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A Semiparametric Bayesian Approach to Dropout in Longitudinal Studies With Auxiliary Covariates

Published:2019-07-02 Issue:1 Volume:29 Page:1-12
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Zhou Tianjian¹²,Daniels Michael J.³,Müller Peter⁴

Affiliation:

1. Department of Public Health Sciences, The University of Chicago, Chicago, IL;;

2. Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX;;

3. Department of Statistics, University of Florida, Gainesville, FL;;

4. Department of Mathematics, The University of Texas at Austin, Austin, TX

Funder

National Institutes of Health

NIH

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2019.1617159

Reference51 articles.

1. Efficient Gaussian process regression for large datasets

2. Hierarchical Modeling and Analysis for Spatial Data

3. Pattern-mixture and selection models for analysing longitudinal data with monotone missing patterns

4. BART: Bayesian additive regression trees

5. Chipman, H., and McCulloch, R. (2016),”BayesTree: Bayesian Additive Regression Trees,” R Package Version 0.3-1.4.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A hidden Markov model for continuous longitudinal data with missing responses and dropout;Biometrical Journal;2023-04-10

2. Incorporating external data into the analysis of clinical trials via Bayesian additive regression trees;Statistics in Medicine;2021-09-07

3. A note on compatibility for inference with missing data in the presence of auxiliary covariates;Statistics in Medicine;2018-11-18

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