activity
20132020
most citedTransporting Experimental Results with Entropy Balancing

42 citations · 66 across the 10 of their papers we have counts for

collaborators

12 papers

stat.ME2020

Bridging linearity-based and kernel-based sufficient dimension reduction

Youngjoo Cho, Debashis Ghosh

There has been a lot of interest in sufficient dimension reduction (SDR) methodologies as well as nonlinear extensions in the statistics literature. In this note, we use classical…

stat.ME2020★ 42 cited

Transporting Experimental Results with Entropy Balancing

Kevin P. Josey, Seth A. Berkowitz, Debashis Ghosh +1

We show how entropy balancing can be used for transporting experimental treatment effects from a trial population onto a target population. This method is doubly-robust in the sens…

stat.ME2019★ 1 cited

Analysis of regression discontinuity designs using censored data

Youngjoo Cho, Chen Hu, Debashis Ghosh

In medical settings, treatment assignment may be determined by a clinically important covariate that predicts patients' risk of event. There is a class of methods from the social s…

cs.CY2019★ 2 cited

A Simulation Based Dynamic Evaluation Framework for System-wide Algorithmic Fairness

Efrén Cruz Cortés, Debashis Ghosh

We propose the use of Agent Based Models (ABMs) inside a reinforcement learning framework in order to better understand the relationship between automated decision making tools, fa…

stat.AP2019★ 5 cited

Accuracy of the Epic Sepsis Prediction Model in a Regional Health System

Tellen Bennett, Seth Russell, James King +6

Interest in an electronic health record-based computational model that can accurately predict a patient's risk of sepsis at a given point in time has grown rapidly in the last seve…

stat.ME2018

Predictive Directions for Individualized Treatment Selection in Clinical Trials

Debashis Ghosh, Youngjoo Cho

In many clinical trials, individuals in different subgroups have experience differential treatment effects. This leads to individualized differences in treatment benefit. In this a…