Bayesian Approaches for Missing Not at Random Outcome Data: The Role of Identifying Restrictions-Reference-Cited by-同舟云学术

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Bayesian Approaches for Missing Not at Random Outcome Data: The Role of Identifying Restrictions

Published:2018-05-01 Issue:2 Volume:33 Page:
ISSN:0883-4237
Container-title:Statistical Science
language:
Short-container-title:Statist. Sci.

Author:

Linero Antonio R.,Daniels Michael J.

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Link

https://projecteuclid.org/download/pdfview_1/euclid.ss/1525313142

Cited by 31 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. The Impact of Sparse Datasets When Harmonizing Data from Studies with Different Measures of the Same Construct;Prevention Science;2024-07-18

2. Methods for handling missing binary data in substance use disorder trials;Drug and Alcohol Dependence;2023-09

3. Multiple imputation for non-monotone missing not at random data using the no self-censoring model;Statistical Methods in Medical Research;2023-08-30

4. Using Auxiliary Marginal Distributions in Imputations for Nonresponse while Accounting for Survey Weights, with Application to Estimating Voter Turnout;Journal of Survey Statistics and Methodology;2023-08-17

5. Simple Bayesian models for missing binary outcomes in randomized controlled trials;Statistics in Medicine;2023-08-13

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