2021

1. Preprint
A Burden Shared is a Burden Halved: A Fairness-Adjusted Approach to Classification
Technical Report 2021
2. Preprint
ZAP: Z-value Adaptive Procedures for False Discovery Rate Control with Side Information
Technical Report 2021
3. Preprint
Sparse Recovery With Multiple Data Streams: A Sequential Adaptive Testing Approach
Technical Report 2021
4. Preprint
Nonparametric Empirical Bayes Estimation On Heterogeneous Data
Technical Report 2021
5. Preprint
Transfer Learning For Empirical Bayes Estimation: A Nonparametric Integrative Tweedie Approach
Technical Report 2021
6. JASA
Structure–Adaptive Sequential Testing for Online False Discovery Rate Control
Journal of the American Statistical Association 2021
7. JASA
False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation
Journal of the American Statistical Association 2021
8. JASA
LAWS: A locally adaptive weighting and screening approach to spatial multiple testing
Journal of the American Statistical Association 2021

2020

1. JASA
Heteroscedasticity-Adjusted Ranking and Thresholding for Large-Scale Multiple Testing
Journal of the American Statistical Association 2020
2. JMLR
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
Journal of Machine Learning Research 2020
3. JASA
Adaptive sparse estimation with side information
Journal of the American Statistical Association 2020
4. JASA
GAP: A general framework for information pooling in two-sample sparse inference
Journal of the American Statistical Association 2020

2019

Covariate-assisted ranking and screening for large-scale two-sample inference (with discussion)
Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
Rejoinder to Covariate-assisted ranking and screening for large-scale two-sample inference''
Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2019
3. Large-Scale Shrinkage Estimation under Markovian Dependence
Book chapter for IISA Series on Statistics and Data Science 2019
4. Optimal design for high-throughput screening via false discovery rate control
Statistics in medicine 2019

2018

1. JASA
Weighted False Discovery Rate Control in Large-Scale Multiple Testing
Journal of the American Statistical Association 2018

2017

1. Large-scale global and simultaneous inference: Estimation and testing in very high dimensions
Annual Review of Economics 2017
Optimal screening and discovery of sparse signals with applications to multistage high-throughput studies
Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017

2015

1. Biometrika
Hierarchical recognition of sparse patterns in large-scale simultaneous inference
Biometrika 2015
False discovery control in large-scale spatial multiple testing
Journal of the Royal Statistical Society. Series B (Statistical methodology) 2015

2013

1. Biometrika
The optimal power puzzle: scrutiny of the monotone likelihood ratio assumption in multiple testing
Biometrika 2013

2012

1. Discussion of Clustering random curves under spatial interdependence with application to service accessibility''
Technometrics 2012
2. JASA
Multiple testing of composite null hypotheses in heteroscedastic models
Journal of the American Statistical Association 2012

2011

1. JASA
Multiple testing for pattern identification, with applications to microarray time-course experiments
Journal of the American Statistical Association 2011
2. A Compound Decision-Theoretic Approach to Large-Scale Multiple Testing
2011

2010

1. Design and analysis of multiple events case--control studies
Biometrics 2010
2. Simultaneous set-wise testing under dependence, with applications to genome-wide association studies
Statistics and its Interface 2010

2009

1. JASA
Simultaneous testing of grouped hypotheses: Finding needles in multiple haystacks
Journal of the American Statistical Association 2009
Large-scale multiple testing under dependence
Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2009
3. Multiple testing in genome-wide association studies via hidden Markov models
Bioinformatics 2009
4. A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data
Statistics in medicine 2009
5. A note on the use of unbiased estimating equations to estimate correlation in analysis of longitudinal trials
Biometrical Journal: Journal of Mathematical Methods in Biosciences 2009

2007

1. JASA
Oracle and adaptive compound decision rules for false discovery rate control
Journal of the American Statistical Association 2007
2. On the estimation and use of propensity scores in case-control and case-cohort studies
American journal of epidemiology 2007
3. Power analyses for longitudinal study designs with missing data
Statistics in medicine 2007

2006

1. On the violation of bounds for the correlation in generalized estimating equation analyses of binary data from longitudinal trials
2006