Estimating heterogeneous survival treatment effect in observational data
using machine learning

Estimating heterogeneous survival treatment effect in observational data using machine learning

17 August 2020

Fan Li

Papers citing "Estimating heterogeneous survival treatment effect in observational data using machine learning"

6 / 6 papers shown

Title
Identifying treatment response subgroups in observational time-to-event data Vincent Jeanselme Chang Ho Yoon Fabian Falck Brian D. M. Tom Jessica Barrett OOD CML 45 0 0 06 Aug 2024
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding Xinyuan Chen Liangyuan Hu Fan Li CML 28 0 0 04 Feb 2024
SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data Alicia Curth Changhee Lee M. Schaar CML 30 30 0 26 Oct 2021
CIMTx: An R package for causal inference with multiple treatments using observational data Liangyuan Hu Jiayi Ji CML 19 2 0 19 Oct 2021
Variable selection with missing data in both covariates and outcomes: Imputation and machine learning Liangyuan Hu Jung-Yi Joyce Lin Jiayi Ji CML 38 12 0 06 Apr 2021
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 119 1,233 0 02 Jun 2016