Robust inference for longitudinal data analysis with non-ignorable and non-monotonic missing values-Reference-Cited by-同舟云学术

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Robust inference for longitudinal data analysis with non-ignorable and non-monotonic missing values

Published:2012 Issue:4 Volume:5 Page:479-490
ISSN:1938-7989
Container-title:Statistics and Its Interface
language:en
Short-container-title:

Author:

Elashoff Robert¹,Li Gang²,Li Ning³,Tseng Chi-Hong⁴

Affiliation:

1. Department of Biomathematics and Biostatistics, School of Medicine and Public Health, University of California at Los Angeles

2. Department of Biostatistics, School of Public Health, University of California at Los Angeles

3. Biostatistics Core, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, Calif., U.S.A.

4. Department of Medicine, School of Medicine, University of California at Los Angeles

Publisher

International Press of Boston

Subject

Applied Mathematics,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. Robust analyzes for longitudinal clinical trials with missing and non-normal continuous outcomes;Statistical Theory and Related Fields;2023-09-26

2. The Peripheral Blood Transcriptome Is Correlated With PET Measures of Lung Inflammation During Successful Tuberculosis Treatment;Frontiers in Immunology;2021-02-10

3. A systematic survey of the methods literature on the reporting quality and optimal methods of handling participants with missing outcome data for continuous outcomes in randomized controlled trials;Journal of Clinical Epidemiology;2017-08

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