Year	ASA Biopharmaceutical Section Student Paper Award at the ICSA/ISBS 2013 Joint Conference
2016	Lijia Wang, Emory University
	A latent class modeling approach for predicting kidney obstruction based on renogram data and expert ratings in the absence of a gold standard
	Xiaolu Zhu, University of Illinois UrbanaChampaign
	Individualizing drug dosage with longitudinal data
2015	Qingning Zhou, University of Missouri
	A sieve semiparametric maximum likelihood approach for regression analysis of bivariate interval-censored failure time data
	Wei Ding, University of Michigan
	Composite likelihood approach in Gaussian copula regression models with missing data
2014	Guanhua Chen, The University of North Carolina at Chapel Hill
	Personalized dose finding using outcome weighted learning
	Cheng Zheng, University of Washington
	Survival rates prediction when training data and target data have different measurement error
2013	Danjie Zhang, University of Connecticut
	Assessing Model Fit in Joint Models of Longitudinal and Survival Data with Applications to Cancer Clinical Trials
	Rui Zhang, University of Washington
	Marginalizable Conditional Model for Clustered Binary Data
Year	Student Travel Award Recipients
2016	Fei Gao, University of North Carolina at Chapel Hill
	Semiparametric estimation of the accelerated failure time model with partly interval-censored data
	Kevin Lee, The Pennsylvania State University
	Nonparametric mixture of Gaussian graphical models, with applications to attention deficit hyperactivity disorder (ADHD) imaging data
	Ziyi Li, Emory University
	Incorporating biological information in sparse principal component analysis with application to genomic data
	Yi Lu, Ohio State University
	Bayesian registration of functions with a Gaussian process prior
	So Young Park, North Carolina State University
	Optimal design for sampling functional data
2015	Yuan Huang, Pennsylvania State University
	Projection test for high-dimensional mean vectors with optimal direction
	Weichen Wang, Princeton University
	Projected principal component analysis in factor models
	Chongliang Luo, University of Connecticut
	Canonical variate regression
	Yanping Liu, Temple University
	A new approach to multiple testing of grouped hypotheses
	Yinfei Kong, University of Southern California
	Innovated interaction screening for highdimensional nonlinear classification
2014	Ting-Huei Chen, University of North Carolina at Chapel Hill.
	Multiple genetic loci mapping for latent disease liability using a structural equation modeling approach with application in Alzheimer’s disease
	Haolei Weng, Columbia University
	Regularization after retention in ultrahigh dimensional linear regression models
	Ran Tao, University of North Carolina at Chapel Hill
	Analysis of sequence data under multivariate trait-dependent sampling
	Hsin-Wen Chang, Columbia University
	Empirical likelihood based tests for stochastic ordering under right censorship
	Qiang Sun, University of North Carolina at Chapel Hill
	Hard thresholded regression via linear programming
2013	Fang Han, Johns Hopkins University
	Optimal Sparse Principal Component Analysis in High Dimensional Elliptical Model
	Lan Liu, University of North Carolina
	Large Sample Randomization Inference of Causal Effects in the Presence of Interference
	Qiang Sun, University of North Carolina
	SPReM: Sparse Projection Regression Model
	Mengdie Yuan, George Mason University
	Semiparametric Odds Rate Model for Modeling Short-term and Long-term Effects
	Stephanie S. Zhang, Columbia University
	Non-identifability, Equivalence Classes, and Attribute-specific Classification in Q-matrix Based Cognitive Diagnosis Models
2012	Peisong Han, University of Michigan
	Efficient Estimation For Missing Outcome Data With Surrogate Using Conditional Empirical Likelihood
	Xueying Chen, Rutgers University
	A Split-and-Conquer Approach for Analysis of Extraordinarily Large Data
	Sy Han Chiou, University of Connecticut
	Semiparametric Multivariate Accelerated Failure Time Model with Generalized Estimating Equations
	Olivia Yueh‐Wen Liao, Stanford University
	Biomarker-Based Adaptive Accrual Designs for Confirmatory Oncology Trials
2011	Ada Lau, University of Oxford
	Spatiotemporal Wind Power Probabilistic Forecasts Using Latent
	Dungang Liu, Rutgers University
	Exact meta-analysis approach for the common odds ratio of 2 × 2 tables with rare events
	Ying Yuan, University of North Carolina at Chapel Hill
	Varying Coefficient Models for Modeling Diffusion Tensors Along White Matter Fiber
2010	Xu He, University of Wisconsin-Madison
	Subgroups defined by two or more genetic markers in genome-wide association studies
	Miguel Marino, Harvard School of Public Health
	Statisticsal Inference in Factor Analysis for High-Dimensional, Low-Sample Size Data: Understanding the Change Patterns of the US Cancer Mortality Rates
	Xingye Qiao, Dept. of Statistics and Operations Research, University of North Carolina, Chapel Hill
	Pairwise Variable Selection for Classification
	Sihai Dave Zhao, Dept. of Biostatistics, Harvard School of Public Health
	Principled sure independence screening for Cox models with ultra-high-dimensional covariates
2009	Jane Paik, Columbia University
	Semiparametric Inference of Linear Transformation Models with Lenth-Biased Censored Data
	Nengfeng Zhou, University of Michigan
	Group Variable Selection via a Hierarchical LASSO and its Oracle Property
	Hung Hung, National Taiwan University
	Nonparametric Methodology for the Time-Dependent Partial Area under the ROC Curve
2008	Michael C. Wu, Harvard University
	Use of Sparse Linear Discriminant Analysis in Testing Gene Pathways
	Min Yuan, University of Science and Technology of China
	Two-stage Genome-wide Association Studies with DNA Pooling and Genetic Model Selection
	Megan Othus, Harvard University
	A Class of Semiparametric Mixture Cure Survival Models with Dependent Censoring
2007	Xiao Ni, North Carolina State University
	Automatic model selection for partial linear models
	Clifford Lam, Princeton University
	Profile-kernel likelihood inference with diverging number of parameters
	Ping Bai, University of North Carolina – Chapel Hill
	Robust singular value decomposition and its application to independent component analysis for fMRI
2006	Fang Yu, University of Connecticut
	Bayesian Analysis of EST Data with Multiple Libraries and Multiple Types of Tissues
	Xin He, University of Missouri-Columbia
	Regression Analysis of Multivariate Panel Count Data
	Minggen Lu, The University of Iowa
	Estimation of the Mean Function with Panel Count Data Using Monotone Polynomial Splines
	Pang Du, Purdue University
	Nonparametric Smoothing Spline model for Gap Time Hazard Function in Recurrent Event Data
2005	Haipen Xing, Stanford University
	Change-point stochastic regression models with applications to econometric time series
	Chong Wang, Cornell University
	Bayesian non-parametric estimation of ROC curves when the true disease state is unknown