Generalizing causal inferences from individuals in randomized trials to all trial‐eligible individuals-Reference-Cited by-同舟云学术

Generalizing causal inferences from individuals in randomized trials to all trial‐eligible individuals

Published:2019-06 Issue:2 Volume:75 Page:685-694
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Dahabreh Issa J.¹²³,Robertson Sarah E.¹,Tchetgen Eric J.⁴,Stuart Elizabeth A.⁵,Hernán Miguel A.³⁶⁷

Affiliation:

1. Center for Evidence Synthesis in HealthBrown University School of Public HealthProvidence Rhode Island

2. Departments of Health Services, Policy & Practice and EpidemiologyBrown UniversityProvidence Rhode Island

3. Department of EpidemiologyHarvard T.H. Chan School of Public HealthBoston Massachusetts

4. Department of StatisticsWharton Business School, University of PennsylvaniaPhiladelphia Pennsylvania

5. Departments of Mental Health, Biostatistics, and Health Policy and ManagementJohns Hopkins Bloomberg School of Public HealthBaltimore Maryland

6. Department of BiostatisticsHarvard T.H. Chan School of Public HealthBoston Massachusetts

7. Harvard‐MIT Division of Health Sciences and Technology Boston Massachusetts

Funder

Patient-Centered Outcomes Research Institute

Foundation for the National Institutes of Health

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.13009

Reference51 articles.

1. Doubly Robust Estimation in Missing Data and Causal Inference Models

2. Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data

3. Randomized, Controlled Trials in Health Insurance Systems

4. Generalizing Evidence From Randomized Clinical Trials to Target Populations: The ACTG 320 Trial

5. Using group data to treat individuals: understanding heterogeneous treatment effects in the age of precision medicine and patient‐centred evidence;Dahabreh I.J.;International Journal of Epidemiology,2016

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