Student Travel Award Recipients

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

Receive Date: 
Tuesday, January 10, 2017