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Bayesian Nonparametric Common Atoms Regression for Generating Synthetic Controls in Clinical Trials

  • Published:2023-07-26 Issue:544 Volume:118 Page:2301-2314
  • ISSN:0162-1459
  • Container-title:Journal of the American Statistical Association
  • language:en
  • Short-container-title:Journal of the American Statistical Association

Author:

Chandra Noirrit Kiran1ORCID,Sarkar Abhra2,de Groot John F.3,Yuan Ying4ORCID,Müller Peter25

Affiliation:

1. Department of Mathematical Sciences, The University of Texas at Dallas, Richardson, TX

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

3. Department of Neurological Surgery, University of California San Francisco, San Francisco, CA

4. Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX

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

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

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 Projection Approach to Local Regression with Variable-Dimension Covariates;Journal of Computational and Graphical Statistics;2024-06-17

2. Regression with Variable Dimension Covariates;Sankhya A;2023-10-20

3. Bayesian approaches to include real-world data in clinical studies;Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences;2023-03-27
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