activity
20182021
most citedRegression Trees for Cumulative Incidence Functions

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME2021

Regression Trees and Ensembles for Cumulative Incidence Functions

Youngjoo Cho, Annette M. Molinaro, Chen Hu +1

The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past decade. The probl…

stat.ME20201 cited

Regression Trees for Cumulative Incidence Functions

Youngjoo Cho, Annette M. Molinaro, Chen Hu +1

The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past decade. The probl…

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.ME2019

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…

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…