Computational Phenomapping of Randomized Clinical Trials to Enable Assessment of their Real-world Representativeness and Personalized Inference.
Phyllis M ThangarajEvangelos K OikonomouLovedeep Singh DhingraArya AminorroayaRahul JayaramMarc A SuchardRohan KheraPublished in: medRxiv : the preprint server for health sciences (2024)
A multidimensional phenotypic distance metric quantifies the generalizability of RCTs to a given population while also offering an avenue to examine expected real-world patient outcomes based on treatment effects observed in the RCT.