2023/05/31 by Lauren Eyler Dang, Lauren E. Dang, Laura B. Balzer
Mathematics · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Statistical Methods in Clinical Trials
paper · doi:10.1097/ede.0000000000001637
openalex publication_date 2023/05/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
University of California, Berkeley, Department of Biostatistics Conflicts of Interest: LED reports tuition and stipend support from a philanthropic gift from the Novo Nordisk corporation to the University of California, Berkeley to support the Joint Initiative for Causal Inference. Sources of Funding: This research was supported, in part, by a philanthropic gift from the Novo Nordisk corporation to the University of California, Berkeley to support the Joint Initiative for Causal Inference. The funders had no role in the conceptualization or writing of the manuscript. Data and Code: Not applicable. Editor's Note: Related articles can be found on pp. XXX, XXX, and XXX. Start with the target trial protocol; then follow the Roadmap for causal inference Co-Corresponding Authors: Lauren E. Dang and Laura B. Balzer Division of Biostatistics University of California, Berkeley 2121 Berkeley Way, Room 5302 Berkeley, CA 94720 1-203-558-3804 [email protected][email protected] This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.