Methods of Public Health Research — Strengthening Causal Inference from Observational Data

For researchers using observational data, a useful way to answer a causal question is to design the target trial that would answer it and then emulate its protocol. The example of the HIV-treatment-as-prevention strategy illustrates the benefits of this approach.

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Bibliographic Details
Published inThe New England journal of medicine Vol. 385; no. 15; pp. 1345 - 1348
Main Author Hernán, Miguel A
Format Journal Article
LanguageEnglish
Published United States Massachusetts Medical Society 07.10.2021
Subjects
AIDS
and the FDA
Artificial intelligence
Cardiovascular disease
Causality
Confounding Factors, Epidemiologic
Data Interpretation, Statistical
Decision making
Devices
Drug resistance
Drug therapy
Drugs
Emulation
Epidemiologic Research Design
Global Health
Health Policy
HIV
Human immunodeficiency virus
Humans
Infectious Disease
Medical Statistics
Observational Studies as Topic - methods
Population
Public Health
United States > US
Public Health
Drug and Device Safety
Focus on Research
Global Health
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Summary:For researchers using observational data, a useful way to answer a causal question is to design the target trial that would answer it and then emulate its protocol. The example of the HIV-treatment-as-prevention strategy illustrates the benefits of this approach.
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ISSN:0028-4793
1533-4406
DOI:10.1056/NEJMp2113319