Target Trial Emulation: A Framework for Causal Inference From Observational Data

Miguel A Hernán; Wei Wang; David E Leaf

doi:10.1001/jama.2022.21383

Target Trial Emulation: A Framework for Causal Inference From Observational Data

JAMA. 2022 Dec 27;328(24):2446-2447. doi: 10.1001/jama.2022.21383.

Authors

Miguel A Hernán¹, Wei Wang², David E Leaf³

Affiliations

¹ CAUSALab, Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
² Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts.
³ Division of Renal Medicine, Brigham and Women's Hospital, Boston, Massachusetts.

PMID: 36508210
DOI: 10.1001/jama.2022.21383

No abstract available

Plain language summary

This Guide to Statistics and Methods describes the use of target trial emulation to design an observational study so it preserves the advantages of a randomized clinical trial, points out the limitations of the method, and provides an example of its use.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Causality*
Comparative Effectiveness Research
Observational Studies as Topic*
Research Design*

Plain language summary

Publication types

MeSH terms

Grants and funding