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Article

Computational Phenomapping of Randomized Clinical Trials to Enable Assessment of their Real-world Representativeness and Personalized Inference

2024-05-15

Abstract excerpt

BACKGROUND: Randomized clinical trials (RCTs) define evidence-based medicine, but quantifying their generalizability to real-world patients remains challenging. We propose a multidimensional approach to compare individuals in RCT and electronic health record (EHR) cohorts by quantifying their representativeness and estimating real-world effects based on individualized treatment effects (ITE) observed in RCTs. METH...

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Literature Corpus work
6fac1063-238e-5edd-8c7c-af94dfc9c803
DOI
10.1101/2024.05.15.24306285
Open publication

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Computational Phenomapping of Randomized Clinical Trials to Enable Assessment of their Real-world Representativeness and Personalized InferenceDOI 10.1101/2024.05.15.24306285
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