Causation implies correlation: a practical guide to target trial emulation in critical care

2026/03/12 by Stella Prizeman‐Green, Annemarie Docherty · 1 voice
Decision Sciences · Mathematics · #Advanced Causal Inference Techniques #Meta-analysis and systematic reviews #Statistical Methods in Clinical Trials

paper · doi:10.1111/anae.70187

crossref issued 2026/03/12 · crossref published 2026/03/12 · crossref published-online 2026/03/12 · openalex publication_date 2026/03/12 · crossref created 2026/03/12 · openalex created_date 2026/03/13 · crossref deposited 2026/05/17 · crossref indexed 2026/05/17 · crossref published-print 2026/06/01 · openalex updated_date 2026/06/26

Citations

• Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available: Table 1.
• Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses
• Perioperative Blood Pressure Management
• An introduction to inverse probability of treatment weighting in observational research
• Causal Inference and the People's Health
• Transparent Reporting of Observational Studies Emulating a Target Trial—The TARGET Statement

Discussions

• Here is a description of causal assumptions required for unbiased causal effect estimates from observational data. From: Statistically Speaking - "Causation implies correlation: a practical guide to [bsky, 1 points, 0 comments]