Wenguang Sun
Wenguang Sun
Professor of Data Sciences and Operations, University of Southern California
Verified email at marshall.usc.edu - Homepage
Title
Cited by
Cited by
Year
Oracle and adaptive compound decision rules for false discovery rate control
W Sun, TT Cai
Journal of the American Statistical Association 102 (479), 901-912, 2007
2562007
Large‐scale multiple testing under dependence
W Sun, T Tony Cai
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009
2242009
On the estimation and use of propensity scores in case-control and case-cohort studies
R Månsson, MM Joffe, W Sun, S Hennessy
American journal of epidemiology 166 (3), 332-339, 2007
1382007
Simultaneous testing of grouped hypotheses: Finding needles in multiple haystacks
TT Cai, W Sun
Journal of the American Statistical Association 104 (488), 1467-1481, 2009
1012009
False discovery control in large-scale spatial multiple testing
W Sun, BJ Reich, TT Cai, M Guindani, A Schwartzman
Journal of the Royal Statistical Society. Series B, Statistical methodology …, 2015
922015
A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data
J Shults, W Sun, X Tu, H Kim, J Amsterdam, JM Hilbe, T Ten‐Have
Statistics in medicine 28 (18), 2338-2355, 2009
902009
Multiple testing in genome-wide association studies via hidden Markov models
Z Wei, W Sun, K Wang, H Hakonarson
Bioinformatics 25 (21), 2802-2808, 2009
562009
Multiple testing for pattern identification, with applications to microarray time-course experiments
W Sun, Z Wei
Journal of the American Statistical Association 106 (493), 73-88, 2011
462011
Weighted false discovery rate control in large-scale multiple testing
P Basu, TT Cai, K Das, W Sun
Journal of the American Statistical Association 113 (523), 1172-1183, 2018
372018
Covariate-assisted ranking and screening for large-scale two-sample inference
TT Cai, W Sun, W Wang
Royal Statistical Society 81 (2), 2019
322019
Power analyses for longitudinal study designs with missing data
XM Tu, J Zhang, J Kowalski, J Shults, C Feng, W Sun, W Tang
Statistics in medicine 26 (15), 2958-2981, 2007
322007
Multiple testing of composite null hypotheses in heteroscedastic models
W Sun, AC McLain
Journal of the American Statistical Association 107 (498), 673-687, 2012
302012
Optimal screening and discovery of sparse signals with applications to multistage high-throughput studies
T Cai, W Sun
Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2017
252017
The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing
H Cao, W Sun, MR Kosorok
Biometrika 100 (2), 495-502, 2013
192013
A note on the use of unbiased estimating equations to estimate correlation in analysis of longitudinal trials
W Sun, J Shults, M Leonard
Biometrical Journal: Journal of Mathematical Methods in Biosciences 51 (1), 5-18, 2009
142009
On the violation of bounds for the correlation in generalized estimating equation analyses of binary data from longitudinal trials
J Shults, W Sun, X Tu, J Amsterdam
bepress, 2006
132006
Gap: A general framework for information pooling in two-sample sparse inference
Y Xia, TT Cai, W Sun
Journal of the American Statistical Association, 2019
122019
Hierarchical recognition of sparse patterns in large-scale simultaneous inference
W Sun, Z Wei
Biometrika 102 (2), 267-280, 2015
112015
Adaptive sparse estimation with side information
T Banerjee, G Mukherjee, W Sun
Journal of the American Statistical Association 115 (532), 2053-2067, 2020
102020
Nonparametric empirical bayes estimation on heterogeneous data
LJ Fu, GM James, W Sun
arXiv preprint arXiv:2002.12586, 2020
92020
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Articles 1–20