Estimating treatment effect in randomized trial after control to treatment crossover using external controls-Reference-Cited by-同舟云学术

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Estimating treatment effect in randomized trial after control to treatment crossover using external controls

Published:2024-04 Issue: Volume: Page:1-29
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Zhou Xiner¹²,Pang Herbert²³^ORCID,Drake Christiana¹,Burger Hans Ulrich⁴,Zhu Jiawen²

Affiliation:

1. Department of Statistics, University of California, Davis, California, USA

2. PD Data Sciences, Genentech, South San Francisco, California, USA

3. Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA

4. PD Data Sciences, Hoffmann-La Roche AG, Basel, Switzerland

Funder

This work is partially supported by a grant from the FDA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2024.2330209

Reference38 articles.

1. Semiparametric Difference-in-Differences Estimators

2. Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects

3. Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program

4. Comparative Politics and the Synthetic Control Method

5. A Penalized Synthetic Control Estimator for Disaggregated Data

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