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Woncheol Jang
Woncheol Jang
Department of Statistics, Seoul National University
Verified email at snu.ac.kr
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Cited by
Cited by
Year
Development and validation of the Good Outcome Following Attempted Resuscitation (GO-FAR) score to predict neurologically intact survival after in-hospital cardiopulmonary …
MH Ebell, W Jang, Y Shen, RG Geocadin, ...
JAMA internal medicine 173 (20), 1872-1878, 2013
1442013
Assessing the performance of a vulnerability index during oppressive heat across Georgia, United States
G Maier, A Grundstein, W Jang, C Li, LP Naeher, M Shepherd
Weather, climate, and society 6 (2), 253-263, 2014
782014
Spatially discordant voltage alternans cause wavebreaks in ventricular fibrillation
BR Choi, W Jang, G Salama
Heart rhythm 4 (8), 1057-1068, 2007
612007
A numerical study of PQL estimation biases in generalized linear mixed models under heterogeneity of random effects
W Jang, J Lim
Communications in Statistics-Simulation and Computation 38 (4), 692-702, 2009
352009
How accurately can we control the FDR in analyzing microarray data?
SH Jung, W Jang
Bioinformatics 22 (14), 1730-1736, 2006
352006
Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging
DA Brown, NA Lazar, GS Datta, W Jang, JE McDowell
NeuroImage 84, 97-112, 2014
292014
Cluster analysis of massive datasets in astronomy
W Jang, M Hendry
Statistics and Computing 17, 253-262, 2007
292007
The influence of depression and personality on social networking
J Wee, S Jang, J Lee, W Jang
Computers in Human Behavior 74, 45-52, 2017
282017
Nonparametric density estimation and clustering in astronomical sky surveys
W Jang
Computational statistics & data analysis 50 (3), 760-774, 2006
282006
Asymptotic properties of the maximum likelihood estimator for the proportional hazards model with doubly censored data
Y Kim, B Kim, W Jang
Journal of Multivariate Analysis 101 (6), 1339-1351, 2010
252010
PQL estimation biases in generalized linear mixed models
W Jang, J Lim
Institute of Statistics and Decision Sciences, Duke University, Durham, NC …, 2006
212006
Serum fibrinogen as a diagnostic and prognostic biomarker for pancreatic ductal adenocarcinoma
KH Chung, JC Lee, J Lee, IK Cho, J Kim, W Jang, BC Yoo, JH Hwang
Pancreatology 20 (7), 1465-1471, 2020
192020
An EM algorithm for the proportional hazards model with doubly censored data
Y Kim, J Kim, W Jang
Computational statistics & data analysis 57 (1), 41-51, 2013
192013
Prior-based Bayesian information criterion
MJ Bayarri, JO Berger, W Jang, S Ray, LR Pericchi, I Visser
Statistical Theory and Related Fields 3 (1), 2-13, 2019
182019
Density estimation for grouped data with application to line transect sampling
W Jang, JM Loh
The Annals of Applied Statistics, 893-915, 2010
182010
Estimating a cosmological mass bias parameter with bootstrap bandwidth selection
JM Loh, W Jang
Journal of the Royal Statistical Society Series C: Applied Statistics 59 (5 …, 2010
162010
Some properties of generalized fused lasso and its applications to high dimensional data
W Jang, J Lim, NA Lazar, JM Loh, D Yu
Journal of the Korean Statistical Society 44, 352-365, 2015
152015
Detection of pancreatic cancer biomarkers using mass spectrometry
K Kim, S Ahn, J Lim, BC Yoo, JH Hwang, W Jang
Cancer informatics 13, CIN. S16341, 2014
152014
Permutation test for incomplete paired data with application to cDNA microarray data
D Yu, J Lim, F Liang, K Kim, BS Kim, W Jang
Computational Statistics & Data Analysis 56 (3), 510-521, 2012
152012
Cosponsorship networks in the 17th National Assembly of Republic of Korea
C Park, W Jang
The Korean journal of applied statistics 30 (3), 403-415, 2017
122017
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Articles 1–20