BriefGPT.xyz
Feb, 2022
带有截尾时间事件的反事实表型学
Counterfactual Phenotyping with Censored Time-to-Events
HTML
PDF
Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
TL;DR
本文提出了一种潜变量方法，用于模拟异质性治疗效果，并演示其在多个大型随机对照试验中发现个体可操作表型的能力。
Abstract
Estimation of
treatment efficacy
of
real-world clinical interventions
involves working with continuous outcomes such as time-to-death, re-hospitalization, or a composite event that may be subject to censoring. Ca
→