Propensity score-integrated composite likelihood approach for augmenting the control arm of a randomized controlled trial by incorporating real-world data-Reference-Cited by-同舟云学术

Propensity score-integrated composite likelihood approach for augmenting the control arm of a randomized controlled trial by incorporating real-world data

Published:2020-05-03 Issue:3 Volume:30 Page:508-520
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Chen Wei-Chen¹,Wang Chenguang²^ORCID,Li Heng¹,Lu Nelson¹,Tiwari Ram¹,Xu Yunling¹,Yue Lilly Q.¹

Affiliation:

1. Division of Biostatistics, Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, Maryland, USA

2. Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland, USA

Publisher

Informa UK Limited

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2020.1730877

Reference21 articles.

1. Estimating and Using Propensity Scores with Partially Missing Data

2. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies

3. mice: Multivariate Imputation by Chained Equations inR

4. Statistical innovations in the medical device world sparked by the FDA

5. An Optimum Property of Regular Maximum Likelihood Estimation

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