Follow
Kwonsang Lee
Kwonsang Lee
Assistant Professor, Department of Statistics, Seoul National University
Verified email at snu.ac.kr - Homepage
Title
Cited by
Cited by
Year
Causal rule ensemble: Interpretable discovery and inference of heterogeneous treatment effects
FJ Bargagli-Stoffi, R Cadei, K Lee, F Dominici
arXiv preprint arXiv:2009.09036, 2020
492020
Discovering effect modification in an observational study of surgical mortality at hospitals with superior nursing
K Lee, DS Small, JY Hsu, JH Silber, PR Rosenbaum
Journal of the Royal Statistical Society Series A: Statistics in Society 181 …, 2018
212018
The use of a quasi-experimental study on the mortality effect of a heat wave warning system in Korea
S Heo, A Nori-Sarma, K Lee, T Benmarhnia, F Dominici, ML Bell
International journal of environmental research and public health 16 (12), 2245, 2019
192019
A powerful approach to the study of moderate effect modification in observational studies
K Lee, DS Small, PR Rosenbaum
Biometrics 74 (4), 1161-1170, 2018
182018
Biased encouragements and heterogeneous effects in an instrumental variable study of emergency general surgical outcomes
CB Fogarty, K Lee, RR Kelz, LJ Keele
Journal of the American Statistical Association 116 (536), 1625-1636, 2021
172021
Discovering heterogeneous exposure effects using randomization inference in air pollution studies
K Lee, DS Small, F Dominici
Journal of the American Statistical Association 116 (534), 569-580, 2021
162021
Discovering effect modification and randomization inference in air pollution studies
K Lee, DS Small, F Dominici
arXiv preprint arXiv:1802.06710, 2018
122018
Causal rule ensemble: Interpretable discovery and inference of heterogeneous causal effects
FJ Bargagli-Stoffi, R Cadei, K Lee, F Dominici
arXiv preprint arXiv:2009.09036, 2020
52020
Estimating the malaria attributable fever fraction accounting for parasites being killed by fever and measurement error
K Lee, DS Small
Journal of the American Statistical Association 114 (525), 79-92, 2019
52019
Risk maps for cities: Incorporating streets into geostatistical models
EB Rose, K Lee, JA Roy, D Small, ME Ross, R Castillo-Neyra, MZ Levy
Spatial and spatio-temporal epidemiology 27, 47-59, 2018
52018
A new, powerful approach to the study of effect modification in observational studies
K Lee, DS Small, PR Rosenbaum
arXiv preprint arXiv:1702.00525, 2017
42017
Nonparametric inference for distributional treatment effects in instrumental variable models
K Lee, BB Bhattacharya, J Qin, DS Small
arXiv preprint arXiv:1605.03868, 2016
42016
Accounting for recall bias in case-control studies: a causal inference approach
K Lee, F Dominici
arXiv preprint arXiv:2102.10537, 2021
22021
Efficacy of heat wave warning system in reducing mortality risk of heat waves in South Korea, Utilizing difference-in-difference and propensity score weighting approaches
S Heo, A Nori-Sarma, K Lee, T Benmarhnia, F Dominici, M Bell
Environmental Epidemiology 3, 290, 2019
22019
A nonparametric likelihood approach for inference in instrumental variable models
K Lee, BB Bhattacharya, J Qin, DS Small
arXiv preprint arXiv:1605.03868, 2016
22016
CRE: An R package for interpretable discovery and inference of heterogeneous treatment effects
R Cadei, N Khoshnevis, K Lee, DM Garcia, FJB Stoffi
Journal of Open Source Software 8 (92), 5587, 2023
2023
A nonparametric binomial likelihood approach for causal inference in instrumental variable models
K Lee, BB Bhattacharya, J Qin, DS Small
Journal of the Korean Statistical Society 52 (4), 1055-1077, 2023
2023
Differential recall bias in estimating treatment effects in observational studies
S Bong, K Lee, F Dominici
arXiv preprint arXiv:2307.02331, 2023
2023
Effect Modification in Observational Studies
K Lee, JY Hsu
Handbook of Matching and Weighting Adjustments for Causal Inference, 205-226, 2023
2023
Tutorial: Matching Methods for Causal Inference
K Lee
2022
The system can't perform the operation now. Try again later.
Articles 1–20