Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders-Reference-Cited by-同舟云学术

Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders

Published:2021-04-06 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Scharfstein Daniel O.¹^ORCID,Steingrimsson Jon²^ORCID,McDermott Aidan³,Wang Chenguang⁴^ORCID,Ray Souvik⁵,Campbell Aimee⁶,Nunes Edward⁶,Matthews Abigail⁷

Affiliation:

1. Department of Population Health Sciences University of Utah School of Medicine Salt Lake City Utah USA

2. Department of Biostatistics Brown University Providence Rhode Island USA

3. Department of Biostatistics Johns Hopkins Bloomberg School of Public Health Baltimore Maryland USA

4. Division of Biostatistics and Bioinformatics The Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine Baltimore Maryland USA

5. Department of Statistics Stanford University Stanford California USA

6. Department of Psychiatry Columbia University Irving Medical Center and New York State Psychiatric Institute New York USA

7. The EMMES Company LLC Rockville Maryland USA

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13455

Reference32 articles.

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

2. Bagging predictors

3. Internet-Delivered Treatment for Substance Abuse: A Multisite Randomized Controlled Trial

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