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                                    Papers and Technical Reports

 

                                                    Wenguang Sun

 

2016

 

1.     Cai, T., Sun, W., and Wang, W. (2016).

CARS: covariate assisted ranking and screening for large-scale two-sample inference.

Technical Report.

 

2.     Basu, P., Cai, T., Das, K., and Sun, W. (2016).

Weighted false discovery rate control in large-scale multiple testing.

Journal of the American Statistical Association, to appear.

 

3.     Wang, W., and Sun, W. (2016).

SMART: multi-stage adaptive testing for sparse signal recovery.

Technical Report.

 

2015

 

4.     Cai, T., and Sun, W. (2016+).

Optimal screening of sparse signals with applications to multistage high-throughput studies.

Journal of the Royal Statistical Society, Series B, to appear.

 

5.     Sun, W., Reich, B., Cai, T., Guindani, M., and Schwartzman, A. (2015).

False discovery control in large-scale spatial multiple testing.

Journal of the Royal Statistical Society, Series B, 77, 59-83.

 

6.     Sun, W. and Wei, Z. (2015).

Hierarchical recognition of sparse patterns in large-scale simultaneous inference.

Biometrika, 102, 267-280.

 

 

2013

 

7.     Cao, H., Sun, W., Kosorok, M. (2013).

The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing.

Biometrika, 100, 495-502.

 

2012

 

8.     Sun, W., and McLain, A. (2012).

Multiple testing of composite null hypotheses in heteroscedastic models.

Journal of the American Statistical Association, 498, 673-687.

 

9.     James, G., Sun, W., and Qiao, X. (2012).

Discussion of ˇ°Clustering random curves under dependenceˇ± by Serban and Jiang.

Technometrics, 54, 123-126.

 

2011

 

10.  Sun, W., and Wei, Z. (2011).

Multiple testing for pattern identification, with applications to time-course microarray experiments.

Journal of the American Statistical Association, 106, 73-88.

 

2010

 

11.  Sun, W., Joffe, M., Chen, J., and Brunelli, S. (2010).

Design and analysis of multiple events case-control studies.

Biometrics, 66, 1220-1229.

 

12.  Wang, W., Wei, Z., and Sun, W. (2010).

Simultaneous set-wise testing under dependence, with applications to genome-wide association studies.

Statistics and Its Interface, 3, 501-511.

 

13.  Cai, T., and Sun, W. (2010).

A compound decision-theoretic approach to large-scale multiple testing.

Book chapter for Analysis of High Dimensional Data, edited by Cai, T. and Shen, X..

 

2009

 

14.  Cai, T., and Sun, W. (2009).

Simultaneous testing of grouped hypotheses: finding needles in multiple haystacks.

Journal of the American Statistical Association, 104, 1467-1481.     

 

15.  Wei, Z., Sun, W., Wang, K., and Hakonarson, H. (2009).

Multiple testing in genome-wide  association studies via hidden Markov models.

Bioinformatics, 25, 2802-2808.

 

16.  Sun, W., and Cai, T. (2009).

Large-scale multiple testing under dependence. 

Journal of the Royal Statistical Society, Series B, 71, 393-424.

 

17.  Shults, J., Sun, W., Tu, X., Kim, H., Amsterdam, J., and Ten Have, T. (2009).

On choosing the working correlation structure in the GEE analysis of longitudinal binary data. 

Statistics in Medicine, 28, 2338-2355.

 

18.  Sun, W., Shults, J., and Leonard, M. (2009).

A note on the use of unbiased estimating equations to estimate correlation in GEE analysis of longitudinal trials.

Biometrical Journal, 51, 5-18.

 

2008 & Earlier

 

19.  Sun, W., Joffe, M., Localio, R., and Norman, S. (2008).

Adjusting for Exposure Opportunity in Observational Studies of Cancer Screening.

Technical report.

 

20.  Sun, W., and Cai, T. (2007).

Oracle and adaptive compound decision rules for false discovery rate control. 

Journal of the American Statistical Association, 102, 901-912.

 

21.  Mansson, R., Hennessy, S., Sun, W., and Joffe, M. (2007).

On the estimation and use of propensity scores in case-control and case-cohort studies.

American Journal of Epidemiology, 166, 332-339.

 

22.  Tu, X., Zhang, J., Kowalski J., Shults J., Feng C., Sun, W., Tan W. (2007).

Power analyses for longitudinal study designs with missing data.

Statistics in Medicine, 26, 2958-2981.

 

23.  Shults, J., Sun, W., Tu, X., and Amsterdam, J. (2006).

On the violation of bounds for the correlation in GEE analyses of binary data  from longitudinal trials.

BEPRESS, University of Pennsylvania, Biostatistics Paper 8.