SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale-Reference-Cited by-同舟云学术

SMIM: A unified framework of survival sensitivity analysis using multiple imputation and martingale

Published:2021-09-20 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Yang Shu¹^ORCID,Zhang Yilong²,Liu Guanghan Frank²,Guan Qian²

Affiliation:

1. Department of Statistics North Carolina State University Raleigh North Carolina USA

2. Merck & Co., Inc. Kenilworth New Jersey USA

Funder

National Institutes of Health

National Science Foundation

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.13555

Reference34 articles.

1. Cox's Regression Model for Counting Processes: A Large Sample Study

2. Reference‐based sensitivity analysis for time‐to‐event data

3. Covariance Analysis of Censored Survival Data

4. Analysis of Longitudinal Trials with Protocol Deviation: A Framework for Relevant, Accessible Assumptions, and Inference via Multiple Imputation

5. Causal Inference on the Difference of the Restricted Mean Lifetime Between Two Groups

Cited by 7 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. Distributional imputation for the analysis of censored recurrent events;Statistics in Medicine;2024-04-29

2. Transporting survival of an HIV clinical trial to the external target populations;Journal of Biopharmaceutical Statistics;2024-03-23

3. Multiply robust estimators in longitudinal studies with missing data under control-based imputation;Biometrics;2024-01-29

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

5. Target Trial Emulation and Bias Through Missing Eligibility Data: An Application to a Study of Palivizumab for the Prevention of Hospitalization Due to Infant Respiratory Illness;American Journal of Epidemiology;2022-12-12