| 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 | 144 | 2013 |
| 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 | 78 | 2014 |
| Spatially discordant voltage alternans cause wavebreaks in ventricular fibrillation BR Choi, W Jang, G Salama Heart rhythm 4 (8), 1057-1068, 2007 | 61 | 2007 |
| 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 | 35 | 2009 |
| How accurately can we control the FDR in analyzing microarray data? SH Jung, W Jang Bioinformatics 22 (14), 1730-1736, 2006 | 35 | 2006 |
| 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 | 29 | 2014 |
| Cluster analysis of massive datasets in astronomy W Jang, M Hendry Statistics and Computing 17, 253-262, 2007 | 29 | 2007 |
| 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 | 28 | 2017 |
| Nonparametric density estimation and clustering in astronomical sky surveys W Jang Computational statistics & data analysis 50 (3), 760-774, 2006 | 28 | 2006 |
| 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 | 25 | 2010 |
| PQL estimation biases in generalized linear mixed models W Jang, J Lim Institute of Statistics and Decision Sciences, Duke University, Durham, NC …, 2006 | 21 | 2006 |
| 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 | 19 | 2020 |
| 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 | 19 | 2013 |
| 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 | 18 | 2019 |
| Density estimation for grouped data with application to line transect sampling W Jang, JM Loh The Annals of Applied Statistics, 893-915, 2010 | 18 | 2010 |
| 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 | 16 | 2015 |
| 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 | 16 | 2010 |
| 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 | 15 | 2014 |
| 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 | 15 | 2012 |
| 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 | 12 | 2017 |
