activity
20182024
most citedInterval-censored linear quantile regression

7 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024★ 7 cited

Interval-censored linear quantile regression

Taehwa Choi, Seohyeon Park, Hunyong Cho +1

Censored quantile regression has emerged as a prominent alternative to classical Cox's proportional hazards model or accelerated failure time model in both theoretical and applied…

math.ST2022

Inference for change-plane regression

Chaeryon Kang, Hunyong Cho, Rui Song +3

A key challenge in analyzing the behavior of change-plane estimators is that the objective function has multiple minimizers. Two estimators are proposed to deal with this non-uniqu…

stat.ME2020★ 1 cited

Multi-stage optimal dynamic treatment regimes for survival outcomes with dependent censoring

Hunyong Cho, Shannon T. Holloway, David J. Couper +1

We propose a reinforcement learning method for estimating an optimal dynamic treatment regime for survival outcomes with dependent censoring. The estimator allows the failure time…

stat.ME2019★ 2 cited

Interval censored recursive forests

Hunyong Cho, Nicholas P. Jewell, Michael R. Kosorok

We propose the interval censored recursive forests (ICRF) which is an iterative tree ensemble method for interval censored survival data. This nonparametric regression estimator ma…

stat.AP2018

Confidence intervals for the area under the receiver operating characteristic curve in the presence of ignorable missing data

Hunyong Cho, Gregory J. Matthews, Ofer Harel

Receiver operating characteristic (ROC) curves are widely used as a measure of accuracy of diagnostic tests and can be summarized using the area under the ROC curve (AUC). Often, i…