Starting right: aligning eligibility and treatment assignment at time zero when emulating a target trial

This article provides methodological guidance when emulating a target trial with longitudinal observational data by showing how to align eligibility criteria and treatment assignment at the start of follow-up to prevent design induced biases, such as immortal time and selection bias.

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Publication Details

Journal
BMJ
Published
2026-01-12
DOI
https://doi.org/10.1136/bmj-2025-084909
Citations
4
Primary Topic
Advanced Causal Inference Techniques
Type
article
Field-Weighted Citation Impact
165.09

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article

Starting right: aligning eligibility and treatment assignment at time zero when emulating a target trial

Rishi Desai, Miguel A Hernán, Edouard L Fu, Michael O. Harhay
4 citations
BMJ
Advanced Causal Inference Techniques
165.09
article

Starting right: aligning eligibility and treatment assignment at time zero when emulating a target trial

Rishi Desai, Miguel A Hernán, Edouard L Fu, Michael O. Harhay
article en
4 citations

Abstract

This article provides methodological guidance when emulating a target trial with longitudinal observational data by showing how to align eligibility criteria and treatment assignment at the start of follow-up to prevent design induced biases, such as immortal time and selection bias.

BMJVol. 392
Leiden University (NL), Brigham and Women's Hospital (US), Harvard University (US), University of Pennsylvania (US)
Universiteit Leiden, Nierstichting, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Openalex Percentile: Top 0%
Advanced Causal Inference Techniques
165.09
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