Hang J. Kim

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Jerome ReiterDuke UniversityVerified email at duke.edu
Quanli WangAstraZenecaVerified email at astrazeneca.com
Dongjun ChungAssociate Professor, Department of Biomedical Informatics, the Ohio State UniversityVerified email at osu.edu
Hongyu ZhaoYale UniversityVerified email at yale.edu
Won ChangAssociate Professor, Seoul National UniversityVerified email at snu.ac.kr
Youngdeok HwangBaruch College, CUNYVerified email at baruch.cuny.edu
Joerg DrechslerInstitut für Arbeitsmarkt- und Berufsforschung, University of MarylandVerified email at iab.de
Bhavik BakshiJulie Ann Wrigley Professor, Arizona State UniversityVerified email at asu.edu
Kyongmin YeoIBM T.J. Watson Research CenterVerified email at us.ibm.com
Andrew B LawsonDistinguished University Professor of Biostatistics, Medical University of South CarolinaVerified email at musc.edu
Yoonsuh JungKorea UniversityVerified email at korea.ac.kr
Gary (Gerard) HardimanProfessor, Faculty of Medicine, Health and Life Sciences -School of Biological Sciences, Queen'sVerified email at qub.ac.uk
Paula Sofia RamosAssociate Professor, Emory UniversityVerified email at emory.edu
Rhonda SzczesniakAssociate Professor of Biostatistics, Cincinnati Children's HospitalVerified email at cchmc.org
Huaiyu ZangSenior Biostatistician, Tigermed-BDM Inc.Verified email at tigermedgrp.com
Bin HuangCincinnati Children's Hospital Medical CenterVerified email at cchmc.org
Jae kwang KimLAS Dean's professor, Statistics Department, Iowa State UniversityVerified email at iastate.edu
Christian HongUniversity of CincinnatiVerified email at uc.edu

Hang J. Kim

University of Cincinnati

Verified email at uc.edu - Homepage

Bayesian analysis Missing data Data privacy Computer experiment Survey sampling


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Multiple imputation of missing or faulty values under linear constraints HJ Kim, JP Reiter, Q Wang, LH Cox, AF Karr Journal of Business & Economic Statistics 32 (3), 375-386, 2014	64	2014
Simultaneous edit-imputation for continuous microdata HJ Kim, LH Cox, AF Karr, JP Reiter, Q Wang Journal of the American Statistical Association 110 (511), 987-999, 2015	44	2015
Synthetic microdata for establishment surveys under informative sampling HJ Kim, J Drechsler, KJ Thompson Journal of the Royal Statistical Society Series A: Statistics in Society 184 …, 2021	22	2021
Simultaneous edit-imputation and disclosure limitation for business establishment data HJ Kim, JP Reiter, AF Karr Journal of Applied Statistics 45 (1), 63-82, 2018	22	2018
graph-GPA: a graphical model for prioritizing GWAS results and investigating pleiotropic architecture D Chung, HJ Kim, H Zhao PLoS computational biology 13 (2), e1005388, 2017	19	2017
Statistical disclosure limitation in the presence of edit rules HJ Kim, AF Karr, JP Reiter Journal of Official Statistics 31 (1), 121-138, 2015	19	2015
Bayesian pollution source identification via an inverse physics model Y Hwang, HJ Kim, W Chang, K Yeo, Y Kim Computational Statistics & Data Analysis 134, 76-92, 2019	14	2019
Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-GPA HJ Kim, Z Yu, A Lawson, H Zhao, D Chung Bioinformatics 34 (12), 2139-2141, 2018	11	2018
The generalized multiset sampler HJ Kim, SN MacEachern Journal of Computational and Graphical Statistics 24 (4), 1134-1154, 2015	10	2015
Estimating heterogeneous treatment effects for latent subgroups in observational studies HJ Kim, B Lu, EJ Nehus, MO Kim Statistics in medicine 38 (3), 339-353, 2019	7	2019
Statistical disclosure control for public microdata: present and future MJ Park, HJ Kim The Korean Journal of Applied Statistics 29 (6), 1041-1059, 2016	7	2016
Incorporating economic conditions in synthetic microdata for business programs K Thompson, HJ Kim Journal of Survey Statistics and Methodology 10 (3), 830-859, 2022	5	2022
Bandwidth selection for kernel density estimation with a Markov chain Monte Carlo sample HJ Kim, SN MacEachern, Y Jung arXiv preprint arXiv:1607.08274, 2016	5	2016
Bayesian causal inference for observational studies with missingness in covariates and outcomes H Zang, HJ Kim, B Huang, R Szczesniak Biometrics 79 (4), 3624-3636, 2023	4	2023
ShinyGPA: An interactive visualization toolkit for investigating pleiotropic architecture using GWAS datasets E Kortemeier, PS Ramos, KJ Hunt, HJ Kim, G Hardiman, D Chung PLoS One 13 (1), e0190949, 2018	4	2018
Using Thermodynamics and Statistics to Improve the Quality of Life-Cycle Inventory Data B Bakshi, HJ Kim, P Goel Thermodynamics and the Destruction of Resources, 235--248, 2011	3	2011
Survey data integration for regression analysis using model calibration Z Wang, HJ Kim, JK Kim arXiv preprint arXiv:2107.06448, 2021	2	2021
Bayesian Model Calibration and Sensitivity Analysis for Oscillating Biological Experiments Y Hwang, HJ Kim, W Chang, C Hong, SN MacEachern Technometrics, 1-11, 2025	1	2025
The Generalized Multiset Sampler HJ Kim, SN MacEachern Technical Report 860, Department of Statistics, The Ohio State University, 2011	1	2011
Rectification of multiscale data with reliability assessment to guide external data procurement in life cycle assessment S Singh, H Kim, BR Bakshi, PK Goel AIChE annual meeting, Philadelphia, 2008	1	2008

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