Follow
Hyunseung Kang
Hyunseung Kang
Associate Professor of Statistics, University of Wisconsin-Madison
Verified email at stat.wisc.edu
Title
Cited by
Cited by
Year
Mendelian randomization
E Sanderson, MM Glymour, MV Holmes, H Kang, J Morrison, MR Munafò, ...
Nature Reviews Methods Primers 2 (1), 6, 2022
5412022
Instrumental variables estimation with some invalid instruments and its application to Mendelian randomization
H Kang, A Zhang, TT Cai, DS Small
Journal of the American statistical Association 111 (513), 132-144, 2016
3032016
The surrogate index: Combining short-term proxies to estimate long-term treatment effects more rapidly and precisely
S Athey, R Chetty, GW Imbens, H Kang
National Bureau of Economic Research, 2019
205*2019
Confidence intervals for causal effects with invalid instruments by using two-stage hard thresholding with voting
Z Guo, H Kang, T Tony Cai, DS Small
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018
1102018
The causal effect of malaria on stunting: a Mendelian randomization and matching approach
H Kang, B Kreuels, O Adjei, R Krumkamp, J May, DS Small
International journal of epidemiology 42 (5), 1390-1398, 2013
932013
Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization
T Ye, J Shao, H Kang
The Annals of statistics 49 (4), 2079-2100, 2021
622021
Association of β-amyloid burden with sleep dysfunction and cognitive impairment in elderly individuals with cognitive disorders
JC You, E Jones, DE Cross, AC Lyon, H Kang, AB Newberg, CF Lippa
JAMA Network Open 2 (10), e1913383-e1913383, 2019
412019
Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
DJ Panyard, KM Kim, BF Darst, YK Deming, X Zhong, Y Wu, H Kang, ...
Communications biology 4 (1), 63, 2021
402021
Peer encouragement designs in causal inference with partial interference and identification of local average network effects
H Kang, G Imbens
arXiv preprint arXiv:1609.04464, 2016
392016
Inference for instrumental variables: a randomization inference approach
H Kang, L Peck, L Keele
Journal of the Royal Statistical Society. Series A (Statistics in Society …, 2018
35*2018
Full matching approach to instrumental variables estimation with application to the effect of malaria on stunting
H Kang, B Kreuels, J May, DS Small
Annals of Applied Statistics 10 (1), 335-364, 2016
322016
Testing endogeneity with high dimensional covariates
Z Guo, H Kang, TT Cai, DS Small
Journal of Econometrics 207 (1), 175-187, 2018
31*2018
Ivmodel: an R package for inference and sensitivity analysis of instrumental variables models with one endogenous variable
H Kang, Y Jiang, Q Zhao, DS Small
Observational Studies 7, 1-24, 2021
25*2021
Two robust tools for inference about causal effects with invalid instruments
H Kang, Y Lee, TT Cai, DS Small
Biometrics 78 (1), 24-34, 2022
23*2022
Weak-instrument robust tests in two-sample summary-data Mendelian randomization
S Wang, H Kang
Biometrics 78 (4), 1699-1713, 2022
172022
Detecting heterogeneous treatment effects with instrumental variables and application to the Oregon health insurance experiment
M Johnson, J Cao, H Kang
The Annals of Applied Statistics 16 (2), 1111-1129, 2022
17*2022
Efficient semiparametric estimation of network treatment effects under partial interference
C Park, H Kang
Biometrika 109 (4), 1015-1031, 2022
152022
Random forests approach for causal inference with clustered observational data
Y Suk, H Kang, JS Kim
Multivariate Behavioral Research 56 (6), 829-852, 2021
152021
Genome-wide association study reveals sex-specific genetic architecture of facial attractiveness
B Hu, N Shen, JJ Li, H Kang, J Hong, J Fletcher, J Greenberg, MR Mailick, ...
PLoS Genetics 15 (4), e1007973, 2019
152019
Spillover Effects in Cluster Randomized Trials with Noncompliance
H Kang, L Keele
arXiv preprint arXiv:1808.06418, 2018
132018
The system can't perform the operation now. Try again later.
Articles 1–20