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Interpretable (not just posthoc-explainable) heterogeneous survivor
  bias-corrected treatment effects for assignment of postdischarge
  interventions to prevent readmissions

Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions

19 April 2023
Hongjing Xia
Joshua C. Chang
S. Nowak
Sonya Mahajan
R. Mahajan
Ted L. Chang
Carson C. Chow
ArXivPDFHTML

Papers citing "Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions"

2 / 2 papers shown
Title
Gradient-flow adaptive importance sampling for Bayesian leave one out
  cross-validation for sigmoidal classification models
Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models
Joshua C. Chang
Xiangting Li
Shixin Xu
Hao-Ren Yao
Julia Porcino
Carson C. Chow
11
0
0
13 Feb 2024
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
172
183
0
03 Feb 2022
1