JSM 2016 Online Program

Keyword Search

Sessions Were Renumbered as of May 19.

Legend:
CC-W = McCormick Place Convention Center, West Building,   CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,   UC= Conference Chicago at University Center
* = applied session       ! = JSM meeting theme

Keyword Search Criteria: regression returned 359 record(s)

Sunday, 07/31/2016

Defining and Estimating Reliability in Hierarchical Logistic Regression Models for Health Care Provider Profiling
Jessica Hwang, RAND Corporation; John Adams, Kaiser Permanente; Susan M. Paddock, RAND Corporation

Reliability of Eyewitness Identification as a Forensic Tool
Karen Kafadar, University of Virginia
2:05 PM

On the Use of Cauchy Prior Distributions for Bayesian Logistic Regression
Joyee Ghosh, University of Iowa; Yingbo Li , Clemson University; Robin Mitra, University of Southampton
2:05 PM

In My Time of Dying: John Graunt's Observations About the Bills of Mortality Revisited Using Modern Spatial Epidemiological Methods
Olaf Berke, University of Guelph
2:05 PM

On the Discovery and Use of Disease Risk Factors with Logistic Regression: New Prostate Cancer Risk Factors
David Booth, Kent State University; Venugopal Gopapalakrishna-Remani, The University of Texas at Tyler; Matthew Cooper, Washington University; Fiona Green, University of Manchester; Margaret Rayman, University of Surrey
2:20 PM

Comparison of Methods to Deal with Separation Problem in Clinical Trials with Binary Data
Shuyan Wan, Merck
2:20 PM

Assessing the Prediction Performance of Some Shrinkage Regression Techniques
Yunfan Li, Purdue University; Anindya Bhadra, Purdue University
2:20 PM

Reference-Based Imputation Versus Dropout = Failure Imputation for Tackling Missing Data
Devan V. Mehrotra, Merck; Fang Liu, Merck
2:25 PM

The Spike and Slab Lasso
Veronika Rockova, The Wharton School; Edward I. George, The Wharton School
2:30 PM

Canonical Variate Regression for Integrative Analysis of Genomics Data
Kun Chen, University of Connecticut
2:45 PM

Standard Regression Model-Based Ratio-Synthetic Estimators Assuming Unequal or Equal Unit Error Variances and Their Use in Survey Practice
Prabhakar Ghangurde
2:50 PM

Modeling with Gamuts
William Heavlin, Google
2:50 PM

Big Data Regression and Prediction for High-Throughput Genomic Data
Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Ben Sherwood, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Fang Du, Johns Hopkins Bloomberg School of Public Health; Jiawei Bai, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:50 PM

Instrumental Variable Regression Models Using Multiple Genetic Markers
Rui Feng, University of Pennsylvania Perelman School of Medicine; Fan Wang, Cleveland Clinic
3:20 PM

An Approach of Fitting Regression Line Not Based on Least Square Estimates
Silvey Shamsi, Ball State University; Mian Adnan, Ball State University; Rahmatullah Imon, Ball State University
3:20 PM

A Generalized Measure of Uncertainty in Geostatistical Regression Model Selection
Chun-Shu Chen, National Changhua University of Education; Jun Zhu, University of Wisconsin - Madison; Tingjin Chu, Renmin University of China
3:20 PM

Estimation for Zero-Inflated Over-Dispersed Count Data Model with Ignorable Missing Response
Sudhir Paul, University of Windsor; Rajibul Mian, University of Windsor
3:20 PM

A Scalable Framework for Minimum Distance Estimation with Applications to Mixture Modeling and Robust, Structured Regression
Jocelyn Chi, North Carolina State University; Eric Chi, North Carolina State University
3:20 PM

Bayesian Large-Scale Multiple Regression with Summary Statistics from Genome-Wide Association Studies
Xiang Zhu, The University of Chicago; Matthew Stephens, The University of Chicago
3:20 PM

On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction
Wei Luo, Baruch College
3:20 PM

Interquantile Shrinkage in Additive Models
Zengyan Fan, Nanyang Technological University; Heng Lian, University of New South Wales
4:05 PM

Fast and Robust Vertex Classification by Sequential Screening
Li Chen, Intel Corporation ; Cencheng Shen, Temple University; Carey Priebe, The Johns Hopkins University
4:20 PM

Calibration Estimators Including Fractional Exponents of Auxiliary Variables
Panagiotis Merkouris, Athens University of Economics and Business
4:20 PM

Efficient Estimation for Randomly Censored Data with Linear Conditional Quantiles
Hiroyuki Taniai, Waseda University
4:20 PM

A Bayesian Approach to Measuring the Nonstationarity of a Time Series
Sourav Das; Guy Nason, University of Bristol
4:20 PM

Bivariate Exponentiated-Exponential Geometric Regression Model
Felix Famoye, Central Michigan University
4:25 PM

Does the Threat of Suspension Curb Dangerous Behavior in Soccer? A Case Study from the Premier League
Douglas VanDerwerken, U.S. Naval Academy; Jacek Rothert, U.S. Naval Academy; Brice Merlin Nguelifack, U.S. Naval Academy
4:35 PM

Efficient Robust Regression with Variable Selection via Generalized Empirical Likelihood
Sohini Raha, North Carolina State University; Howard Bondell, North Carolina State University
4:35 PM

Wavelet Analysis of Large-P-Small-N Cross-Correlation Matrices in fMRI Studies of Neuroplasticity
Jiayi Wu; Sam Efromovich, The University of Texas at Dallas
4:50 PM

Shared Frailty in Joint Model of Cancer Incidence, Metastases, and Mortality
Qui Tran, University of Michigan; Kelley M. Kidwell, University of Michigan; Alex Tsodikov, University of Michigan
4:50 PM

Graphlet Screening for High-Dimensional Variable Selection
Qi Zhang, University of Nebraska - Lincoln; Jiashun Jin, Carnegie Mellon University; Cun-Hui Zhang, Rutgers University
4:50 PM

An Autologistic Regression Model for Binary Classification of Hyperspectral Remote Sensing Imagery
Charmaine Dean, University of Western Ontario; Mark Wolters, Fudan University
4:55 PM

Estimation of Smooth Seasonal Components Under Long-Range Dependence
Britta Steffens, University of Konstanz; Jan Beran, University of Konstanz
5:05 PM

A Model-Selection Criterion for Regression Estimators Based on Data Depth
Subhabrata Majumdar, University of Minnesota - Twin Cities; Snigdhansu Chatterjee, University of Minnesota - Twin Cities
5:20 PM

A Bayesian Approach for Regression Analysis of Complex Survey Data with Missing Values
Trivellore Raghunathan, University of Michigan
5:25 PM

Integrative Genomic Association Testing via Kernel Machine Mediation Analysis
Angela Hsiaohan Chen, University of Illinois at Urbana-Champaign; Sihai Zhao, University of Illinois at Urbana-Champaign
5:35 PM

Monday, 08/01/2016

Model Selection for Marginal Regression Analysis of Longitudinal Data with Missing Observations and Covariate Measurement Error
Chung Wei Shen

Interval-Censored Proportional Hazard Regression Model
Hung-Mo Lin, Icahn School of Medicine at Mount Sinai; John Michael Williamson, CDC; Hae-Young Kim, New York Medical College

A Group Sequential Test of a Competing Risk Endpoint for Treatment Effect Based on the Fine-Gray Model
Michael Martens, Medical College of Wisconsin; Brent Logan, Medical College of Wisconsin

Testing for Interaction in Functional Varying-Coefficient Models
Merve Tekbudak, North Carolina State University

Determining a Plus/Minus Metric for NCAA Women's Volleyball from Incomplete Court Presence Information
Zachary Hass; Bruce A. Craig, Purdue University

Spatio-Temporal Regression for Longitudinally Acquired MRI Data
Arnab Hazra, North Carolina State University; Brian J. Reich, North Carolina State University; Ana-Maria Staicu, North Carolina State University

Classification of All-Rounders in Limited-Over Cricket
Ananda Manage; Danush Wijekularathna, Troy University

Analysis of Airplane Crash Data
Yana Melnykov, University of Alabama

A New Resampling Method in Linear Regression Model with Application in Cancer Statistics
Huann-Sheng Chen, National Cancer Institute

Statistical Power of Mixed Zero-Inflated Poisson Regression Models with Time-Dependent vs. Time-Independent Covariates
Gadir Alomair; Enayetur Raheem, University of Northern Colorado

Predicting Human Driving Behavior to Help Driverless Vehicles Drive: Random Intercept Bayesian Additive Regression Trees
Yaoyuan Vincent Tan, University of Michigan; Carol A. C. Flannagan, University of Michigan Transport Research Institute; Michael Elliott, University of Michigan

Multiple Regression Replaces the Need for a Tailor
Allison Davidson, Muhlenberg College

AUC Regression for Multiple Comparisons of Monotone Zero-Dose Control Experiments
Johanna Van Zyl, Baylor University; Jack D. Tubbs, Baylor University

Using Wavelets to Discover Relationships Among Tree-Ring Records
Megan Heyman, Rose-Hulman Institute of Technology; Snigdhansu Chatterjee, University of Minnesota - Twin Cities; Scott St. George, University of Minnesota

Bayesian Inference for Unidirectional Misclassification in Ordinal Covariates
Liangrui Sun; Chaoxiong Xia, Northern Illinois University; Yuanyuan Tang, Saint Luke's Health System; Shun Takai, Northern Illinois University

Nonparametric Kernel Estimation Using Ranks and Values
Nicholas Kaukis, Oklahoma State University

Convolution Weighting in Compound Estimation with or Without Heteroscedasticity
Sisheng Liu, University of Kentucky; Richard Charnigo, University of Kentucky; Cidambi Srinivasan, University of Kentucky

Evaluating the Use of Child Restraint Systems and Resulting Injury and Fatalities using Demographic and Social Characteristics of Driver's Home Zip Code
Anastasia Vishnyakova, Temple University

A Nonparametric Procedure for Change Point Detection in Linear Regression
Sunil Mathur, Georgia Regents University; Jing Sun, Augusta University; Deepak Sakate, Augusta University

Spatial Confounding in Semiparametric Regression Models for Spatial Data
Guilherme Ludwig, University of Wisconsin - Madison; Jun Zhu, University of Wisconsin - Madison; Chun-Shu Chen, National Changhua University of Education

The Elliptically Symmetric Angular Gaussian Distribution with Application to Regression Modeling on the Sphere
Phillip Paine, University of Nottingham

Underestimation of Standard Errors in Regression Analysis for Pollution Exposure Assessment Using Multi-Source Data
Tomoshige Nakamura, Keio University; Mihoko Minami, Keio University

Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
Dana Yang, Yale University

Sparse Regression for Block Missing Data Without Imputation
Yufeng Liu, The University of North Carolina at Chapel Hill
8:35 AM

Mixtures of Regression Models for Large Spatial Data Sets
Amanda Hering, Colorado School of Mines; Karen Kazor, Colorado School of Mines; Laura Condon, Colorado School of Mines; Reed Maxwell, Colorado School of Mines
8:35 AM

EigenPrism: Inference for High-Dimensional Signal-to-Noise Ratios
Lucas Janson; Emmanuel Candes, Stanford University; Rina Foygel Barber, The University of Chicago
8:35 AM

Evaluating the Use of Child Restraint Systems and Resulting Injury and Fatalities using Demographic and Social Characteristics of Driver's Home Zip Code
Anastasia Vishnyakova, Temple University
8:35 AM

A Nonparametric Procedure for Change Point Detection in Linear Regression
Sunil Mathur, Georgia Regents University; Jing Sun, Augusta University; Deepak Sakate, Augusta University
8:35 AM

Underestimation of Standard Errors in Regression Analysis for Pollution Exposure Assessment Using Multi-Source Data
Tomoshige Nakamura, Keio University; Mihoko Minami, Keio University
8:35 AM

Nonparametric Kernel Estimation Using Ranks and Values
Nicholas Kaukis, Oklahoma State University
8:45 AM

Genomic Determination Index
Cheng Cheng, St. Jude Children's Research Hospital; Robert J. Autry, St. Jude Children's Research Hospital; Wenjian Yang, St. Jude Children's Research Hospital; Steven Paugh, St. Jude Children's Research Hospital; William E. Evans, St. Jude Children's Research Hospital
8:50 AM

Statistical Issues in Single-Cell Analysis for Cancer Research
Omar De La Cruz Cabrera, Case Western Reserve University
8:55 AM

AUC Regression for Multiple Comparisons of Monotone Zero-Dose Control Experiments
Johanna Van Zyl, Baylor University; Jack D. Tubbs, Baylor University
9:00 AM

Environmental Stressors, Health Outcomes, and Bayesian Regression Trees
Gregory Watson, University of California at Los Angeles; Donatello Telesca, University of California at Los Angeles
9:05 AM

Regression-Based Covariance Functions for Nonstationary Spatial Modeling
Mark Risser, Lawrence Berkeley National Laboratory
9:15 AM

Building Models for Emission Lines
Chad Schafer, Carnegie Mellon University; Zongge Liu, Carnegie Mellon University; Peter Freeman, Carnegie Mellon University
9:15 AM

Conditional Logistic Regression in a Cluster-Specific M-to-M Treatment-Control Study with Binary Outcomes
Zhulin He, Iowa State University; Gabriel Demuth, Iowa State University; Zhengyuan Zhu, Iowa State University
9:15 AM

Nonlocal Functional Priors for Nonparametric Bayesian Testing
Minsuk Shin, Texas A&M University; Valen E. Johnson, Texas A&M University; Anirban Bhattacharya, Texas A&M University
9:20 AM

Statistical Model Selection in Differential Equations Using PACE Software for Functional Regression.
Charles Smith, North Carolina State University
9:20 AM

Strategic Energy Management: Estimating the Uncertainty of Energy Savings Estimates
Jennifer Huckett, Cadmus
9:20 AM

Joint Modeling of Survival Time with Another Outcome in Clinical Trials or Observational Studies
Ross L. Prentice, Fred Hutchinson Cancer Research Center; Shanshan Zhao, National Institute of Environmental Health Sciences
9:25 AM

Nonparametric Regression with Instrumental Variables
Purushottam Laud, Medical College of Wisconsin; Robert McCulloch, The University of Chicago; Rodney Sparapani, Medical College of Wisconsin
9:25 AM

Penalized Regression Method for Finding Differences in Brain Connectome Graphs
Donghyeon Yu, Keimyung University
9:35 AM

Annotation Regression of Genome-Wide Association Studies with Multiple Phenotypes
Sunyoung Shin, University of Wisconsin - Madison; Sunduz Keles, University of Wisconsin - Madison
9:35 AM

A Bayesian Formulation for Capturing Population Heterogeneity
Junxian Geng, Florida State University; Elizabeth Slate, Florida State University
9:35 AM

Nuclear Penalized Multinomial Regression for Predicting At-Bat Outcomes in Baseball
Scott Powers; Trevor Hastie, Stanford University; Robert Tibshirani, Stanford University
9:35 AM

Incorporating Informative Missingness into a Regression-Based Recommender System
Lin Su, North Carolina State University; Howard Bondell, North Carolina State University
9:35 AM

Estimating Energy Savings Resulting from Strategic Energy Management Programs
Andrew Bernath, Cadmus
9:35 AM

Bernstein-Von Mises Theorem for Individual Entries in Sparse High-Dimensional Linear Regression
Dana Yang, Yale University
9:35 AM

Bayesian Additive Regression Trees: Extensions and Embedding in Complex Models
Jared S. Murray, Carnegie Mellon University
9:50 AM

Psychographic Market Segmentation with Very Large Number of Behavioral Factors
Atreyee Majumder, Michigan State University; Tapabrata Maiti, Michigan State University
9:50 AM

A Bayesian Hierarchical Model of Pitch Framing in Major League Baseball
Sameer Deshpande, The Wharton School; Abraham J. Wyner, The Wharton School
9:50 AM

Benefit-Risk Analysis for Dose-Escalation Trial
Hiya Banerjee
9:50 AM

Tensor Regression with Functionally Linked Parameters
Su Chen, University of Memphis; Ebenezer Olusegun George, University of Memphis
9:50 AM

Utilizing Experimental Designs for Multi-Country Consumer Tests
Jason Parcon, PepsiCo Global R&D
9:50 AM

A Statistical Study to Determine the Criteria for Winning in Mixed Martial Arts for the Ultimate Fighting Championship (UFC)
Victor Villalpando, The University of Texas Rio Grande Valley
10:05 AM

High-Dimensional Analysis of Spatial Count Data: A Penalized Estimating Equation Approach
Rejaul Karim, Michigan State University; Tapabrata Maiti, Michigan State University
10:05 AM

The Statistics of Credit Scoring: How to Use What You Already Know to Build a Credit Scorecard
Billie Anderson, Ferris State University
10:05 AM

Statistical Inference for High-Dimensional Linear Regression
Tony Cai, University of Pennsylvania; Zijian Guo, University of Pennsylvania
10:35 AM

Tracing Pathways of Dependence: How Far Did We Get?
Nanny Wermuth, Johannes Gutenberg University/Chalmers University of Technology
10:35 AM

Potential Outcome Regression with Interference
Joseph Rigdon, Stanford University; Michael Hudgens, The University of North Carolina at Chapel Hill
10:35 AM

Quantile Regression for Location-Scale Time Series Models with Conditional Heteroscedasticity
Jungsik Noh, The University of Texas Southwestern Medical Center; Sangyeol Lee, Seoul National University
10:35 AM

Supervised Functional Principal Component Analysis
Yunlong Nie, Simon Fraser University; Jiguo Cao, Simon Fraser University
10:35 AM

A Nonparametric Regression Model for Panel Count Data Analysis
Huadong Zhao, East China Normal University
10:35 AM

Bayesian Variable Selection for Multivariate Count Data with Excess Zeros: Application to the Pediatric HIV/AIDS Cohort Study
Kyu Ha Lee, The Forsyth Institute; Brent Coull, Harvard T.H. Chan School of Public Health; Jacqueline R. Starr, The Forsyth Institute
10:35 AM

Personalized Dose Finding Using Outcome Weighted Learning
Guanhua Chen, Vanderbilt University ; Donglin Zeng, The University of North Carolina at Chapel Hill; Michael R. Kosorok, The University of North Carolina at Chapel Hill
10:35 AM

Predictive Geocoding
Jie Fan, University of Miami; J. Sunil Rao, University of Miami
10:50 AM

Nonparametric Survival Analysis Using Bayesian Additive Regression Trees (BART)
Rodney Sparapani, Medical College of Wisconsin; Brent Logan, Medical College of Wisconsin; Robert McCulloch, The University of Chicago; Purushottam Laud, Medical College of Wisconsin
10:50 AM

Stochastic EM-like Algorithms for Fitting Finite Mixture of Lifetime Regression Models Under Right Censoring
Laurent Bordes; Didier Chauveau, University of Orleans
10:55 AM

Hierarchical Regression and Variance-Function Modeling to Estimate the Inter-Rater Intraclass Correlation Coefficient in Assessments of Shared Decision Making
James O'Malley, Geisel School of Medicine at Dartmouth; Paul J. Barr, Geisel School of Medicine at Dartmouth; Glyn Elwyn, Geisel School of Medicine at Dartmouth
11:00 AM

Optimal Sampling Designs of Two-Compartment Nonlinear Regression Models
Noa Molshatzki, University of Southern California; Sandrah P. Eckel, University of Southern California
11:05 AM

Bayesian Additive Regression Trees (BART) and Precision Medicine
Brent Logan, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Robert McCulloch, The University of Chicago; Purushottam Laud, Medical College of Wisconsin
11:05 AM

Sequential BART for Imputation of Missing Covariates
Dandan Xu, University of Florida; Michael Daniels, The University of Texas at Austin; Almut G. Winterstein, University of Florida
11:15 AM

Multiple Regression Replaces the Need for a Tailor
Allison Davidson, Muhlenberg College
11:15 AM

Modeling Nonlinearity Using Splines: Applications and Simulations
Leila Amorim, UFBA; Maristela Dias Oliveira, Universidade Federal da Bahia; Daniele B. Trindade, Universidade Federal de Pernambuco
11:20 AM

Cox Regression Model with Doubly Truncated Data
Lior Rennert, University of Pennsylvania; Sharon X. Xie, University of Pennsylvania
11:20 AM

Scalars-on-Function Linear Regression with Large Number of Functional Predictors
Ruiyan Luo; Xin Qi, Georgia State University
11:35 AM

Model-Based Regression Clustering for High-Dimensional Data
Emilie Devijver
11:35 AM

A Bayesian Approach for the Integrative Analysis of Omics Data
Thierry Chekouo Tekougang, MD Anderson Cancer Center; Francesco Stingo, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center; James Doecke, CSIRO Health and Biosecurity
11:35 AM

Survival Analysis with Measurement Error in a Cumulative Exposure Variable: Radon Progeny in Relation to Lung Cancer Mortality
Polyna Khudyakov, Harvard T.H. Chan School of Public Health; Jonathan Samet, University of Southern California; Charles Wiggins, University of New Mexico; Xiaomei Liao, Harvard T.H. Chan School of Public Health; Angela Meisner, New Mexico Tumor Registry; Donna Spiegelman, Harvard T.H. Chan School of Public Health
11:35 AM

Rank-Preserving Regression: A More Robust Rank Regression Model Against Outliers
Tian Chen
11:35 AM

A Two-Stage Approach to Analysis of Health Effects of Environmental Chemical Mixtures: Informed Sparse Principal Component Analysis Followed by Segmented Regression
Roman Jandarov, University of Cincinnati; Susan Pinney, University of Cincinnati; Liang Niu, University of Cincinnati
11:50 AM

Nonlinear Function on Function Regression with Multiple Prediction Curves
Xin Qi, Georgia State University; Ruiyan Luo
11:50 AM

Biologically Pathway Information Incorporated Structured Model
Xuebei An, MD Anderson Cancer Center; Jianhua Hu, MD Anderson Cancer Center; Kim-Anh Do, MD Anderson Cancer Center
11:50 AM

Mixture Model for Radiographic Progression in Psoriatic Arthritis
Bin Dong, Janssen R&D; Jiandong lu, Janssen R&D
11:50 AM

Sparse Latent Class Regression for Multivariate Binary Data: A Bayesian Approach
Zhenke Wu, The Johns Hopkins University; Scott L. Zeger, The Johns Hopkins University
11:50 AM

Semiparametric Regression Analysis of Interval-Censored Competing Risks Data
Lu Mao, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill; Donglin Zeng, The University of North Carolina at Chapel Hill
11:55 AM

Flexible Functional Regression Methods for Estimating Individualized Treatment Regimes
Adam Ciarleglio, Columbia University; Eva Petkova, New York University; Thaddeus Tarpey, Wright State University; Robert Todd Ogden, Columbia University
12:05 PM

Nonparametric Regression Method for Broad Sense Agreement
AKM F. Rahman, Emory University; Limin Peng, Emory University; Amita Manatunga, Emory University; Ying Guo, Emory University
12:05 PM

The Elliptically Symmetric Angular Gaussian Distribution with Application to Regression Modeling on the Sphere
Phillip Paine, University of Nottingham
12:10 PM

Random Designs for Misspecified Regression Models
Tim Waite, University of Manchester; David Woods, University of Southampton
2:05 PM

Prediction Risk for Global-Local Shrinkage Regression
Anindya Bhadra, Purdue University; Jyotishka Datta, Duke University/Statistical and Applied Mathematical Sciences Institute; Yunfan Li, Purdue University; Nicholas Polson, The University of Chicago; Brandon Willard, The University of Chicago
2:05 PM

On Log-Mean Linear Regression Graph Models
Monia Lupparelli; Alessandra Mattei, University of Florence; Alberto Roverato, University of Bologna
2:05 PM

The Blessing of Derivatives in Nonparametric Estimation
Xiaowu Dai, University of Wisconsin - Madison; Grace Wahba, University of Wisconsin - Madison; Peter Qian, University of Wisconsin - Madison
2:20 PM

Bayesian Regression Using a Prior on the Model Fit
Brian Naughton, North Carolina State University; Howard Bondell, North Carolina State University
2:20 PM

Interactions and Squares: Don't Transform, Just Impute!
Philipp Gaffert, GfK SE; Volker Bosch, GfK SE; Florian Meinfelder, Otto-Friedrich-Universität Bamberg
2:25 PM

Bayesian Nonparametric Modeling and Inference for Mean Residual Life Functions
Athanasios Kottas, University of California at Santa Cruz; Valerie Poynor, California State University at Fullerton
2:30 PM

High-Dimensional Linear Regression via the R2-D2 Shrinkage Prior
Yan Zhang, North Carolina State University; Brian J. Reich, North Carolina State University; Howard Bondell, North Carolina State University
2:35 PM

Forecasting Using Sparse Cointegration
Ines Wilms; Christophe Croux, KU Leuven
2:35 PM

Local Region Image-on-Scalar Regression
Yao Chen; Xiao Wang, Purdue University
2:35 PM

Downscaling of Climate Model Projections of Temperature and Related Uncertainty Quantification
Ernst Linder, University of New Hampshire; Yiming Liu, University of New Hampshire; Meng Zhao, University of New Hampshire
2:35 PM

Region-Based Hypothesis Test of Mediation Effect with Epigenomic Data Using Kernel Machine Regression
Jincheng Shen, Harvard T.H. Chan School of Public Health
2:45 PM

Simultaneous Detection and Estimation of Trait Associations with Genomic Phenotypes
Jean Morrison, University of Washington; Noah Simon, University of Washington; Daniela Witten, University of Washington
2:50 PM

Analysis of High-Throughput Drug Screening Data of Cancer Cell Lines
Hongmei Liu; J. Sunil Rao, University of Miami
2:50 PM

Dynamic Prediction by Landmarking in Clinical Survival Analysis
Hans C. van Houwelingen, Leiden University Medical Center
2:55 PM

Symmetric Tensor Regression with Applications in Neuroimaging Data Analysis
Weixin Cai, University of California at Berkeley; Lexin Li, University of California at Berkeley
3:05 PM

The Impact of Exposure Measurement Error in Mediation Analyses for Environmental Epigenetic Studies
Linda Valeri, Harvard; Brent Coull, Harvard T.H. Chan School of Public Health
3:05 PM

Post-Model Selection Estimation for Regression Models with Spatial Autoregressive Error
Liqian Cai, Michigan State University; Tapabrata Maiti, Michigan State University
3:20 PM

Regression Analysis of Clustered Failure Time Data with Informative Cluster Size Under the Additive Transformation Models
Ling Chen, Washington University in St. Louis; Yanqin Feng, Wuhan University; Jianguo Sun, University of Missouri
3:20 PM

Multilevel Small-Area Estimation of Health Behaviors: An Extension of Multilevel Regression and Poststratification (MRP) Approach via Bootstrapping
Xingyou Zhang, CDC; Shumei Yun, Missouri Department of Health and Senior Services; Hua Lu, CDC; Yan Wang, CDC; Paul I. Eke, CDC; James B. Holt, CDC; Kurt Greenlund, CDC; Janet B. Croft, CDC
3:35 PM

Analysis of Restricted Mean Survival Time for Length-Biased Data
Chi Hyun Lee, MD Anderson Cancer Center; Yu Shen, MD Anderson Cancer Center; Jing Ning, MD Anderson Cancer Center
3:35 PM

Nonparametric Estimation Using Wavelet Tensor and Hyperbolic Wavelets with Fractional Gaussian Fields
Justin Wishart, Macquarie University
3:35 PM

Tuesday, 08/02/2016

Physical Inactivity Displays a Mediator Role in the Association of Diabetes and Poverty in the Presence of Spatial Heterogeneity
Xiao Li, The University of Texas Health Science Center at Houston; Lung-Chang Chien, The University of Texas School of Public Health at San Antonio; Amanda Staudt, The University of Texas School of Public Health at San Antonio; Xuehan Ren, The University of Texas Health Science Center at Houston

Estimation and Modeling of Partnership Transition Probabilities and Concurrency Patterns: Recasting Duration Data in a Markov Chain and Logistic Regression Framework
Yared Gurmu; Nuala McGrath, University of Southampton; Victor De Gruttola, Harvard

Multicategory Classification Using High-Dimensional Predictors with Applications to Studying Effects of Rice Genome
Arkaprava Roy, North Carolina State University; Subhashis Ghoshal, North Carolina State University

C.Logic: An Algorithm to Classify Dichotomous Disease Outcomes Using Interactions Between Dichotomous and Continuous Predictors
Sybil Prince Nelson

High-Dimensional Cox Regression for Genome-Wide Assessment of the Prognostic Benefit of Somatic Mutations in Ovarian Cancer
Brandon Butcher, University of Iowa; Patrick Breheny, University of Iowa; Donghai Dai, University of Iowa

An Informative Prior Approach to a Bivariate Zero-Inflated Poisson Regression Model
Madeline Drevets, Baylor University

Bayesian Approach to Sample Size Determination for Multilevel Logistic Regression Models with Misclassified Outcomes
Tyler Nelson, Baylor University

Models for Understanding and Predicting Consumer Perception of Radiance
Supriya A. K. Satwah, Unilever; Anthony Cece, Unilever; Robert Velthuizen, Unilever

Covariate Adjustment for Logistic Regression Analysis of Binary Clinical Trial Data
Honghua Jiang; Pandurang Kulkarni, Eli Lilly and Company; Craig Mallinckrodt, Eli Lilly and Company; Linda Shurzinske, Eli Lilly and Company; Geert Molenberghs, Universiteit Hasselt; Ilya Lipkovich, Quintiles

Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression
Fuxia Cheng, Illinois State University

Matching and Regression to the Mean in the Difference-in-Differences Design
Jamie R. Daw, Harvard; Laura Anne Hatfield, Harvard Medical School

An Approach to Combining Stratification and Covariate Adjustment Methods
Zhibao Mi, VA CSPCC; Joseph Collins, VA CSPCC

Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction
Seung Jun Shin, Korea University; Andreas Artemiou, Cardiff University

Modeling Variation in Diversity
Michael Anderson, The University of Texas at San Antonio

Predicting Class Membership Using Imputation Methods for Clinical Variable for Hepatocellular Carcinoma (HCC)
Amrina Ferdous, Washington State University; Nairanjana Dasgupta, Washington State University

The Knockoff Filter for FDR Control in Group-Sparse and Multitask Regression
Ran Dai, The University of Chicago; Rina Foygel Barber, The University of Chicago

Controlling for Confounders in a Parkinson's Disease Study
Ruosha Li, The University of Texas Health Science Center at Houston

Mediation Analysis for Longitudinal Data Using Regression Calibration When the Mediator Is Measured with Error
John M. Ssenkusu, University of Minnesota; David Vock, University of Minnesota School of Public Health

Statistics and Biology: Stories with Heart
Elizabeth Ribble, Metropolitan State University of Denver

Tumor Response in Patients Receiving No Anti-Cancer Therapy: A Meta-Analysis with Incomplete Multinomial Regression
Charity Morgan, University of Alabama at Birmingham; Pooja Ghatalia, University of Alabama at Birmingham; Guru Sonpavde, University of Alabama at Birmingham

Minimum Predictive Risk Subspace Selection in Misspecified Quantile Regressions
Alexander Giessing, University of Michigan; Xuming He, University of Michigan

Scaled Concave Penalized Regression
Long Feng; Cun-Hui Zhang, Rutgers University
8:35 AM

Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions
Yin Xia, The University of North Carolina at Chapel Hill
8:35 AM

Testing for No Effect in Nonparametric Regression with Survey Data
Yan Lu, University of New Mexico
8:35 AM

Least Squares Regression Methods for Clustered ROC Data with Discrete Covariates
Liansheng Tang, George Mason University/National Institutes of Health; Wei Zhang, Chinese Academy of Sciences; Qizhai Li, Chinese Academy of Sciences; Xuan Ye, George Mason University/FDA; Leighton Chan, National Institutes of Health
8:35 AM

Shrinkage in Reduced-Rank Case-Control Regression: An Application in Non-Hodgkin's Lymphoma
Ananda Sen, University of Michigan ; Jaya M. Satagopan, Memorial Sloan Kettering Cancer Center
8:35 AM

On the Optimality of Sliced Inverse Regression in High Dimensions
Qian Lin, Harvard; Xinran Li, Harvard; Jun S. Liu, Harvard
8:35 AM

Regression Analysis of Incomplete Data from Event History Studies with the Proportional Rates Model
Guanglei Yu, University of Missouri - Columbia; Liang Zhu, St. Jude Children's Research Hospital; Jianguo Sun, University of Missouri; Leslie L. Robison, St. Jude Children's Research Hospital
8:50 AM

Functional Regression Models for Large Spatial Data with Endogeneity and Unstructured Dependence
Arnab Bhattacharjee, Heriot-Watt University; Tapabrata Maiti, Michigan State University
9:00 AM

Accuracy Assessment for High-Dimensional Linear Regression
Tony Cai, University of Pennsylvania; Zijian Guo, University of Pennsylvania
9:05 AM

Principal Quantile Regression for Sufficient Dimension Reduction with Heteroscedasticity
Chong Wang, North Carolina State University; Yichao Wu, North Carolina State University; Seeing Jun Shin, Korea University
9:15 AM

Joint Modeling for Logistic Regression Models with Generalized Method of Moments Estimators
Katherine Cai, Arizona State University; Jeffrey Wilson, Arizona State University
9:20 AM

High-Dimensional Gaussian Copula Regression: Adaptive Estimation and Statistical Inference
Linjun Zhang, University of Pennsylvania; Tony Cai, University of Pennsylvania
9:20 AM

Autoregression on Multiple, Adaptively Detected Timescales for the Modeling of High-Frequency Returns
Rafal Baranowski, London School of Economics; Piotr Fryzlewicz, London School of Economics
9:25 AM

Asymptotic Properties of Hazard Rate Estimator in Censored Linear Regression
Fuxia Cheng, Illinois State University
9:30 AM

Conditional Variable Screening with Trace Pursuit
Lei Huo, Missouri University of Science and Technology; Xuerong Wen, Missouri University of Science and Technology; Zhou Yu, East China Normal University; Lu Lin, Shandong University
9:35 AM

Using Bayesian Quantile Regression Model with Group LASSO to Identify Key Health Risk Assessment Variables and Evaluate Their Predictive Power in the Patient's Future Medical Costs
Hsiu-Ching Chang, BlueCross BlueShield of MI; Hyokyoung (Grace) Hong, Michigan State University; Yu Yue, Baruch College; Min Tao, BlueCross BlueShield of MI; Darline El Reda, Michigan State University
9:35 AM

Least Tail-Trimmed Absolute Deviation Estimation for Autoregressions with Infinite/Finite Variance
Rongning Wu, Baruch College
9:35 AM

Matching and Regression to the Mean in the Difference-in-Differences Design
Jamie R. Daw, Harvard; Laura Anne Hatfield, Harvard Medical School
9:35 AM

CoCoLasso for High-Dimensional Error-in-Variables Regression
Abhirup Datta, University of Minnesota; Hui Zou, University of Minnesota
9:35 AM

Functional Regression and Model Calibration for Air Pollution Data
Marian Scott, University of Glasgow; Alan Hills, Scottish Environment Protection Agency; Lauren sim, University of Glasgow
9:35 AM

Multiple Intraclass Correlations for Higher-Level Nested Logistic Regression
Kyle Irimata, Arizona State University; Jeffrey Wilson, Arizona State University
9:35 AM

Constructing Generalized Variance Functions with Linear Regression Trees
Greg Erkens, Bureau of Labor Statistics
9:35 AM

Biosignatures for Treatment Response: Statistical Methods for Developing Depression Treatment Response Index (DTRI)
Eva Petkova, New York University; Thaddeus Tarpey, Wright State University; Robert Todd Ogden, Columbia University; Adam Ciarleglio, Columbia University; Hyung G. Park, Columbia University
9:35 AM

An Approach to Combining Stratification and Covariate Adjustment Methods
Zhibao Mi, VA CSPCC; Joseph Collins, VA CSPCC
9:40 AM

Using Whole-Cohort Information in Case-Control Studies
Alastair Scott, University of Auckland; Christopher Wild, University of Auckland; Gustavo Amorim, Ghent University
9:50 AM

Empirical likelihood inference for regression parameters when modeling hierarchical complex survey data
Melike Oguz Alper, Statistics Norway; Yves G. Berger, University of Southampton
9:50 AM

Risk Estimation for High-Dimensional Lasso Regression
Daniel McDonald, Indiana University; Darren Homrighausen, Colorado State University
9:50 AM

Minimum Predictive Risk Subspace Selection in Misspecified Quantile Regressions
Alexander Giessing, University of Michigan; Xuming He, University of Michigan
9:55 AM

Nonparametric Regression with Adaptive Smoothness via a Convex Hierarchical Penalty
Asad Haris, University of Washington; Ali Shojaie, University of Washington; Noah Simon, University of Washington
10:05 AM

Communication Over a Noisy Channel Using High-Dimensional Linear Regression with Gaussian Design
Cynthia Rush, Yale University; Adam Greig, University of Cambridge; Ramji Venkataramanan, University of Cambridge
10:05 AM

Model Calibration Utilizing Summary-Level Information from External Big Data
Nilanjan Chatterjee, The Johns Hopkins University; Yi-Hau Chen, Academia Sinica; Paige Maas, National Cancer Institute; Raymond Carroll, Texas A&M University
10:35 AM

Nonparametric Covariate-Adjusted Regression
Aurore Delaigle, University of Melbourne; Wenxin Zhou, Princeton; Peter Hall, University of Melbourne
10:35 AM

Using Regression Trees to Model Characteristics of Nonresponse and Measurement Error in a Longitudinal Survey
Morgan Earp, Bureau of Labor Statistics; Daniell Toth, Bureau of Labor Statistics; Polly Phipps, Bureau of Labor Statistics; Charlotte Oslund, Bureau of Labor Statistics
10:35 AM

Classification and Regression Tree Modeling of Correlated Binary Outcomes
Jaime Speiser, Medical University of South Carolina; Valerie Durkalski-Mauldin, Medical University of South Carolina; Dongjun Chung, Medical University of South Carolina; Bethany Wolf, Medical University of South Carolina
10:50 AM

Cluster Detection of Spatial Regression Coefficients
Junho Lee, University of Wisconsin; Ronald Gangnon, University of Wisconsin; Jun Zhu, University of Wisconsin - Madison
10:50 AM

Robust Ridge Regression Estimators for Nonlinear Models with Applications to High-Throughput Screening Assay Data
Changwon Lim
10:50 AM

Locally Adaptive Shrinkage for Regression on Posets of Predictors
Andrew Womack, Indiana University
10:50 AM

Modeling Survey Data with Regression Trees
Daniell Toth, Bureau of Labor Statistics
10:55 AM

Machine Learning Methods in High-Dimensional Branching Processes
Anand N. Vidyashankar, George Mason University
10:55 AM

Efficient inference for genetic association studies with multiple outcomes
Hélène Ruffieux, Ecole Polytechnique Fédérale de Lausanne; Anthony C. Davison, Ecole Polytechnique Fédérale de Lausanne; Irina Irincheeva, Nestlé Institute of Health Sciences SA; Jörg Hager, Nestlé Institute of Health Sciences SA
11:00 AM

Ranking Homologous Proteins Using an Ensemble of Logistic Regression Models Based on Subsets of Feature Variables
Jabed Tomal, University of Toronto; William J. Welch, The University of British Columbia; Ruben H. Zamar, The University of British Columbia
11:05 AM

The Estimation of Absolute IC50 and Its 95% Confidence Interval
Qin Liu, The Wistar Institute; Xiangfan Yin, The Wistar Institute; Quentin McAfee, University of Pennsylvania ; Ravi Amaravadi, University of Pennsylvania ; Jeffery Winkler, University of Pennsylvania ; Meenhard Herlyn, The Wistar Institute
11:05 AM

Dynamic Child Growth Prediction: A Comparative Methods Approach
Andrada E. Ivanescu, Montclair State University; Ciprian Crainiceanu, The Johns Hopkins University; William Checkley, The Johns Hopkins University
11:15 AM

Models for Understanding and Predicting Consumer Perception of Radiance
Supriya A. K. Satwah, Unilever; Anthony Cece, Unilever; Robert Velthuizen, Unilever
11:15 AM

An Approach to the Multivariate Two-Sample Problem Using Classification and Regression Trees and Minimum-Weight Spanning Subgraphs
David Ruth; Samuel Buttrey, Naval Postgraduate School; Lyn Whitaker, Naval Postgraduate School
11:20 AM

Searching for Correlates of Protection for Ebola Vaccine
Jin Xu, Merck; Kenneth Liu, Merck; Ivan S. F. Chan, Merck
11:20 AM

Functional CAR Models for Large Spatially Correlated Functional Data Sets
Lin Zhang, University of Minnesota; Veera Baladandayuthapani, MD Anderson Cancer Center; Hongxiao Zhu, Virginia Tech; Keith A. Baggerly, MD Anderson Cancer Center; Tadeusz Majewski, MD Anderson Cancer Center; Bogdan A. Czerniak, MD Anderson Cancer Center; Jeffrey S. Morris, MD Anderson Cancer Center
11:25 AM

Penalized Principal Logistic Regression for Sparse Sufficient Dimension Reduction
Seung Jun Shin, Korea University; Andreas Artemiou, Cardiff University
11:35 AM

Multivariate Smoothing Regression of Vector Valued Functions with Error in Variables Using a Bayesian Approach
Eduardo Trujillo Rivera
11:35 AM

Modeling Variation in Diversity
Michael Anderson, The University of Texas at San Antonio
11:40 AM

Bayesian Model Selection of Shape Constraints for Nonparametric Regression
Peter Lenk, University of Michigan; Taeryon Choi, Korea University
11:50 AM

Model Checking in Errors-in-Variable Tobit Regression Using Validation Data
Pei Geng
11:50 AM

The Knockoff Filter for FDR Control in Group-Sparse and Multitask Regression
Ran Dai, The University of Chicago; Rina Foygel Barber, The University of Chicago
11:50 AM

Statistics and Biology: Stories with Heart
Elizabeth Ribble, Metropolitan State University of Denver
11:50 AM

Supervised Implicit Network Construction and Analysis of Related Network-Wide Metrics
Brandon Park; Anand N. Vidyashankar, George Mason University; Tucker McElroy, U.S. Census Bureau; Jie Xu, George Mason University
11:55 AM

Controlling for Confounders in a Parkinson's Disease Study
Ruosha Li, The University of Texas Health Science Center at Houston
12:10 PM

Finding Functional Hotspots Utilizing 3D Genomes
Mark Segal, University of California at San Francisco
2:05 PM

Graphical Tools to Detect and Adjust for Invalid Instruments in Mendelian Randomization
Jack Bowden, University of Bristol
2:05 PM

Learning High-Dimensional Discrete Multivariate Auto-Regressive Models
Garvesh Raskutti, University of Wisconsin - Madison
2:05 PM

Partially Linear Single-Index Regression for Accelerated Failure Time Models
Wenqing He, University of Western Ontario; Grace Yi, University of Waterloo
2:05 PM

Considerations That Decrease Bicycle Fatalities
Aaron Mehlhaff; Robert Collins, Colorado State University
2:05 PM

Sufficient Dimension Reduction with Missing Data
Qi Xia, Temple University; Yuexiao Dong, Temple University; Chengyong Tang, Temple University
2:20 PM

Bilinear Regression with Matrix Covariates in High Dimensions
Dan Yang, Rutgers University; Dong Wang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Haipeng Shen, The University of Hong Kong
2:25 PM

Sample Splitting in Non-Standard Problems
Bodhisattva Sen, Columbia University; Moulinath Banerjee, University of Michigan; Cecile Durot, University Paris Ouest Nanterre Defense
2:30 PM

Dynamic Factor Models and Reduced Rank Regression in High-dimensional Time Series
Tze Leung Lai, Stanford University; Ka Wai Tsang, The Chinese University of Hong Kong; Hongsong Yuan, Shanghai University of Finance and Economics
2:30 PM

A Two-Dimensional Poisson Autoregression with Application to Association Study of Two Financial Markets
Ke Wang; Haipeng Xing, SUNY Stony Brook
2:35 PM

Convex Regularization for High-Dimensional Tensor Regression
Ming Yuan, University of Wisconsin; Garvesh Raskutti, University of Wisconsin - Madison
2:45 PM

Sparse Bayesian Graphical Vector Autoregression For Risk Analysis
Daniel Felix Ahelegbey, Boston University; Monica Billio, University of Venice; Roberto Casarin, University of Venice
2:50 PM

Statistical Analysis of Genomics Data for Disease Susceptibility and Drug Response
Jun Xie, Purdue University
3:05 PM

Multivariate Copula-Based Regression Models for Longitudinal Data
Xin Tian, National Heart, Lung, and Blood Institute; Colin O. Wu, National Heart, Lung, and Blood Institute
3:05 PM

Factors Associated with Systemic Risk: A CoVaR Approach
Zhiruo Liu
3:20 PM

Functional Data Analysis for Sparse and Irregular Longitudinal MRI Measurements in the Developing Brain
Xiongtao Dai, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community; Hans-Georg Mueller, University of California at Davis; Jane-Ling Wang, University of California at Davis
3:25 PM

Model Estimation and Dynamic Prediction for Subject-Specific Event Probability in Joint Modeling Using Longitudinal Quantile Regression
Ming Yang, The University of Texas Health Science Center at Houston; Sheng Luo, The University of Texas at Houston; Stacia DeSantis, The University of Texas Health Science Center at Houston
3:35 PM

Wednesday, 08/03/2016

Fast Bayesian Variable Screenings for Binary Response Regressions
Sheng-Mao Chang, National Cheng Kung University

Inference on Interval-Valued Data Regression by Measurement Error Models
Yaotong Cai, University of Georgia; Lynne Billard, University of Georgia

A Parametric Approach for Analyzing Heteroscedastic Regression Models with Non-Normally Distributed Residuals
Fassil Nebebe, Concordia University; Tak Kwan Mak, Concordia University

The Effect of Multicollinearity in Various Regression Scenarios
Daniel Mundfrom, Eastern Kentucky University; Lisa Kay, Eastern Kentucky University; Michelle Smith, Eastern Kentucky University

On Fitting the Constrained Lasso
Brian R. Gaines, North Carolina State University; Hua Zhou, University of California at Los Angeles

Finding the 'Best' Measurement of Body Weight Status Was Difficult with Missing Data
Liyun Zhang, Medical College of Wisconsin; Michele Polfuss, University of Wisconsin - Milwaukee; Kathleen J. Sawin, University of Wisconsin - Milwaukee; Pippa Simpson, Medical College of Wisconsin

Pathway-Structured Predictive Model for Cancer Survival Prediction
Xinyan Zhang, University of Alabama at Birmingham; Yan Li, University of Alabama at Birmingham; Omotomilayo F. Akinyemiju, University of Alabama at Birmingham; Akinyemi I. Ojesina, University of Alabama at Birmingham; Phillip Buckhaults, University of South Carolina; Bo Xu, Southern Research Institute; Nengjun Yi, University of Alabama at Birmingham

Extension of the Peters-Belson Method to Estimate Health Disparities Among Multiple Groups Using Logistic Regression with Survey Data
Yan Li, Joint Program in Survey Methodology; Barry Graubard, National Cancer Institute; Pengyu Huang, Fors Marsh Group; Joseph L. Gastwirth, The George Washington University

SCDC: A Statistical Approach for Reducing Nuisance Variability Due to Oscillating Genes in Unsynchronized Single-Cell RNA-Seq Experiments
Jeea Choi, University of Wisconsin - Madison; Christina Kendziorski, University of Wisconsin; Ning Leng, Thomson Lab at the Morgridge Institute for Research; Li-Fang Chu, Thomson Lab at the Morgridge Institute for Research; Ron Stewart, Thomson Lab at the Morgridge Institute for Research; James Thomson, Morgridge Institute for Research

A Comparison Between Standard Regression and Multilevel Modeling Techniques to Analyze Complex Survey Data Based on the Monte Carlo Simulation Study
Alomgir Hossain, University of Ottawa Heart Institute; George Wells, University of Ottawa Heart Institute; Punam Pahwa, University of Saskatchewan

Regression Models and Tests for Recruitment Dynamics in Respondent-Driven Sampling
Li Zeng, Yale University; Forrest Crawford, Yale University; Jianghong Li, Yale University

Robust Modeling of EQTL Effect Sizes
John Palowitch; Andrey Shabalin, Virginia Collegiate University; Fred Wright, North Carolina State University; Andrew Nobel, The University of North Carolina at Chapel Hill; Yihui Zhou, North Carolina State University

Single-Index Models for Function-on-Function Regression
Guanqun Cao, Auburn University; Li Wang, Iowa State University
8:35 AM

Statistical Models of Faculty Retention: Logistic Regression, COACHE, and Support Mechanisms
Mack Shelley, Iowa State University; LIsa Larson, Iowa State University; Sandra Gahn, Iowa State University; Diane Rover, Iowa State University; Beate Schmittmann, Iowa State University; Megan Heitmann, Iowa State University
8:35 AM

The Rise and Fall of 'The Black Mamba': Looking Back at Kobe Bryant's Career
Clayton Barker, SAS Institute
8:35 AM

A Finite Mixture Model Approach on the First-Year University Drop-Out Probability
Matilde Bini, Universita Europea di Roma; Lucio Masserini, University of Pisa
8:50 AM

Sparse Seasonal and Periodic Vector Autoregressive Modeling
Vladas Pipiras, The University of North Carolina at Chapel Hill; Changryong Baek, Sungkyunkwan University; Richard A. Davis, Columbia University
8:55 AM

Spatial Modeling of Highway Crash Risk
Matthew J. Heaton, Brigham Young University
9:00 AM

Semiparametric Regression Analysis of Recurrent Gap Times in the Presence of Competing Risks
Chia-Hui Huang, National Taipei University; Yi-Hau Chen, Academia Sinica
9:05 AM

Augmented Estimation for T-Year Survival with Censored Regression Models
Yu Zheng, Harvard; Tianxi Cai, Harvard
9:05 AM

Cluster-Adjusted Regression for Displaced Subject Data (CARDS): Marginal Inference Under Potentially Informative Temporal Cluster Size Profiles
Somnath Datta, University of Florida; JOE BIBLE, National Institutes of Health; JAMES BECK, The University of North Carolina at Chapel Hill
9:15 AM

Approximate Median Regression for Complex Survey Data
Raphael Fraser, Medical College of Wisconsin
9:15 AM

Bayesian Restricted Likelihood Methods
Steven N. MacEachern, The Ohio State University; John Lewis, The Ohio State University; Yoonkyung Lee, The Ohio State University
9:15 AM

Historical Functional Cox Regression, with an Application to Prediction of Multiple Sclerosis Lesions
Philip Reiss, New York University; Elizabeth M. Sweeney, Johns Hopkins Bloomberg School of Public Health ; Jonathan Gellar, Mathematica Policy Research
9:15 AM

Goodness-of-Fit Tests for High-Dimensional Linear Regression
Rajen Dinesh Shah, University of Cambridge; Peter Bühlmann, ETH Zurich
9:25 AM

HPRM: Hierarchical Principal Regression Model of Diffusion Tensor Bundle Statistics
Jingwen Zhang; Hongtu Zhu, The University of North Carolina at Chapel Hill; Joseph G. Ibrahim, The University of North Carolina at Chapel Hill
9:35 AM

Bayesian Network-Response Regression
Lu Wang, Duke University; Daniele Durante, University of Padua; David Dunson, Duke University
9:35 AM

Don't Believe What You See: Prediction Paradoxes in Sports
Alexander D'Amour, Harvard
9:35 AM

On Optimal Quantile Regression
Mei Ling Huang, Brock University; Christine Nguyen, Brock University
9:35 AM

Doubly Robust Regression Trees Under Competing Risks
Youngjoo Cho, University of Rochester Medical Center; Robert Strawderman, University of Rochester Medical Center
9:35 AM

Analysis of Asynchronous Longitudinal Data with Partially Linear Model
Li Chen, University of Missouri
9:35 AM

Drug Interaction Assessment with Repeated Measurements in Fixed Ray Design
Shouhao Zhou, MD Anderson Cancer Center
9:35 AM

Genome-Wide Association Studies Using a Penalized Moving-Window Regression
Minli Bao, University of Iowa; Kai Wang, University of Iowa
9:50 AM

Regression Models and Tests for Recruitment Dynamics in Respondent-Driven Sampling
Li Zeng, Yale University; Forrest Crawford, Yale University; Jianghong Li, Yale University
9:55 AM

Multiple Imputation Method Based on Weighted Quantile Regression Models for Longitudinal Censored Biomarker Data with Missing Early Visits
MinJae Lee, The University of Texas Health Science Center at Houston ; Mohammad H. Rahbar, The University of Texas Health Science Center at Houston; John D. Reveille, The University of Texas Health Science Center at Houston ; Michael Weisman, Cedars-Sinai Medical Center; Michael M. Ward, National Institute of Arthritis and Musculoskeletal and Skin Diseases; Lianne Gensler, University of California at San Francisco; Matthew Brown, University of Queensland Diamantina Institute
10:05 AM

From Presence of Pathogens to Etiology of Disease: An Innovative Latent Class Model with Two Latent Variables
Nong Shang, CDC
10:05 AM

Bayesian Threshold Regression for Multivariate Current Status Data with Informative Censoring
Michael Pennell, The Ohio State University; Tao Xiao, Shenzhen University
10:35 AM

Multi-Tuning Parameter Lasso for Sample Classification
Kimberly Siegmund, University of Southern California; Jie Liu, University of Southern California; Juan Pablo Lewinger, University of Southern California
10:35 AM

Trinary Framework for Modeling Multiple Parameters and Cluster-Based Interactionss
Turkan Gardenier, Pragmatica Corp.; John Stark Gardenier, CDC/NCHS (Retired)
10:50 AM

An approximate L0-based variable selection method for high dimensional data
Zhihua Sun, Ocean University of China; Gang Li, University of California at Los Angeles
10:50 AM

An Investigation of a Quadratic Design Criterion for Estimation of the Hemodynamic Response Function
Darcie Delzell, Wheaton College
10:50 AM

Optimal Estimation of Derivatives in Nonparametric Regression
Wenlin Dai, King Abdullah University of Science and Technology ; Marc Genton, KAUST; Tiejun Tong, Hong Kong Baptist University
10:50 AM

Efficient Bayesian Posterior Sampling for Massive Data Sets
Reihaneh Entezari; Radu V. Craiu, University of Toronto; Jeffrey S. Rosenthal, University of Toronto
10:50 AM

Insurance Premiums and Patient Experience: Do You Get What You Pay for in Medicare Advantage Plans?
Amelia M. Haviland, Carnegie Mellon University; Sai MA, Centers for Medicare and Medicaid Services; Katrin Hambarsoomian, RAND Corporation; Marc N. Elliott, RAND Corporation
10:55 AM

Variable Selection with Correlated Bivariate Mixed Outcomes Using Penalized Generalized Estimating Equations
Ved Deshpande, University of Connecticut; Elizabeth Schifano, University of Connecticut; Dipak Dey, University of Connecticut
10:55 AM

An Estimating Equation Approach to Dimension Reduction in Longitudinal Data
Liping Zhu, Renmin University of China; Li Jin, Fudan University; Kelin Xu, Fudan University; Wensheng Guo, University of Pennsylvania Perelman School of Medicine; Momiao Xiong, The University of Texas Health Science Center at Houston
11:00 AM

Covariate Balancing Propensity Score via Tailored Loss Function
Qingyuan Zhao, Stanford University; Trevor Hastie, Stanford University
11:05 AM

Selection for Semiparametric Odds Ratio Model via Adaptive Screening
Jinsong Chen, University of Illinois at Chicago; Huayun Chen, University of Illinois at Chicago
11:05 AM

Estimating Regression Parameters from a Sensitive Variable with Noise Multiplication
Marlow Lemons, U.S. Census Bureau; Bimal Sinha, University of Maryland Baltimore County; Aref Dajani, U.S. Census Bureau
11:15 AM

On Safe Semi-Supervised Learning
Kenneth Ryan; Mark Culp, West Virginia University
11:20 AM

Frechet Regression for Random Objects
Hans-Georg Mueller, University of California at Davis; Alexander Petersen, University of California at Davis
11:25 AM

Kernel Penalized Regression Models for Microbiome Data
Timothy Randolph, Fred Hutchinson Cancer Research Center; Ali Shojaie, University of Washington; Sen Zhao, University of Washington
11:25 AM

Approximate Likelihood Methods for Estimation and Prediction in Gaussian Process Regression Models for Computer Experiments
Ryan Parker, SAS Institute; Brian J. Reich, North Carolina State University; Chris Gotwalt, SAS Institute
11:35 AM

Estimation and Variable Selection for the Quantile Partially Linear Single-Index Model
Yuankun Zhang, University of Cincinnati; Heng Lian, University of New South Wales; Yan Yu, University of Cincinnati
11:35 AM

Rank-Based Group Variable Selection
Brice Merlin Nguelifack, U.S. Naval Academy
11:50 AM

Analysis of Ultra-High-Dimensional Polycystic Ovary Syndrome Genome Using DC-RR
Jill Lundell, Utah State University; Guifang Fu, Utah State University
11:50 AM

Scaling Up Statistical Models to Hadoop Using Tessera
Jim Harner, West Virginia University
11:55 AM

CoCoLasso for High-Dimensional Error-in-Variables Regression
Hui Zou, University of Minnesota; Abhirup Datta, University of Minnesota
2:05 PM

Flexible Link Functions in Nonparametric Binary Regression with Gaussian Process Priors
Xia Wang, University of Cincinnati; Dan Li, University of Cincinnati; Lizhen Lin, The University of Texas; Dipak Dey, University of Connecticut
2:05 PM

Modeling the Upper Tail of the Distribution of Facial Recognition Non-Match Scores
Brett Hunter; Dan Cooley, Colorado State University; Geof Givens, Colorado State University; J. Ross Beveridge, Colorado State University
2:05 PM

Causal Regression Discontinuity and Its Application to a Biomedical Example
Marie-Abele Bind; Fan Li, Duke University; Farbizia Meali, University of Florence
2:05 PM

Prediction-Oriented Marker Selection (PROMISE) with Application to High-Dimensional Regression
Soyeon Kim, MD Anderson Cancer Center; J. Jack Lee, MD Anderson Cancer Center; Veera Baladandayuthapani, MD Anderson Cancer Center
2:20 PM

A Dirichlet Process Functional Approach to Heteroscedastic-Consistent Covariance Estimation and Sensitivity Analysis of Causal Effects
George Karabatsos, University of Illinois at Chicago
2:25 PM

Supervised Neighborhoods for Distributed Nonparametric Regression
Ameet Talwalkar, University of California at Los Angeles
2:30 PM

Optimal Shrinkage Estimation in Heteroscedastic Hierarchical Models: Beyond Gaussian
Samuel Kou, Harvard; Lawrence D. Brown, University of Pennsylvania; Xianchao Xie, Two Sigma Investments
2:30 PM

Subsampling for Feature Selection from Large Regression Data
Yiying Fan, Cleveland State University; Jiayang Sun, Case Western Reserve University
2:35 PM

Applications of Statistical Techniques to Smoking Cessation Studies Using National Survey Data
Julia Soulakova, University of Nebraska - Lincoln; Lisa Crockett, University of Nebraska - Lincoln
2:50 PM

Adaptive Bayesian Inference in Nonlinear Regression
Ji-Yeon Yang, Kumoh National Institute
2:50 PM

Reversed Hazard Parametric Regression Model to Analyze Left-Censored HIV Data
Md Akhtar Hossain, University of South Carolina; Hrishikesh Chakraborty, University of South Carolina
2:50 PM

Statistical Issues in Evaluating Hemostasis State of a Blood Sample
Kyungsook Kim, FDA
3:05 PM

Conditional Inference for the Kernel Association Tests
Kai Wang, University of Iowa
3:05 PM

Bias Reduction in Logistic Regression with Missing Responses When the Missing-Data Mechanism Is Nonignorable
Vivek Pradhan, Pfizer; Arnab Maity, Northern Illinois University
3:05 PM

Quantile Graphical Models: An Approximate Bayesian Approach
Nilabja Guha, Texas A&M University; Bani K. Mallick, Texas A&M University
3:05 PM

Robust Variance Estimation in Meta-Regression: Adjustments for Small and Moderate Sample Sizes
Elizabeth Tipton, Columbia University; James Eric Pustejovsky, The University of Texas at Austin
3:20 PM

Learning About Nonrespondents' Characteristics Using Standard Exploratory Data Analysis (EDA) Tools
MoonJung Cho, Bureau of Labor Statistics; Larry Lang, Bureau of Labor Statistics
3:20 PM

Enhancing the Precision of Small-Sample Sensitivity Tests
David H. Collins, Los Alamos National Laboratory; Michael S. Hamada, Los Alamos National Laboratory; Brian Phillip Weaver, Los Alamos National Laboratory
3:20 PM

The Relationship Between Nonresponse and Revisions in the CES: Anticipating the Size and Direction of Revisions Using Firm Characteristics and Their Employment Reporting History
Clyde Tucker, CNN/AIR; John Dixon, Bureau of Labor Statistics
3:20 PM

Model Validation for Regression with Covariates Subject to Fixed or Random Censoring
Paul Bernhardt, Villanova University
3:35 PM

Thursday, 08/04/2016

Monitoring the Results of Cardiac Surgery Based on Three or More Outcomes by Variable Life-Adjusted Display
Fah Fatt Gan, National University of Singapore
8:35 AM

Regression for Partially Observed Household Epidemics
Forrest Crawford, Yale University
8:35 AM

Capitalizing on the Use of Basis Sets in Regression Spline Mixed Models
Karen Nielsen
9:05 AM

Subgroup Identification Based on Multiple Outcomes
Chensheng Kuang, University of Wisconsin - Madison; Menggang Yu, University of Wisconsin - Madison; Sijian Wang, University of Wisconsin - Madison
9:15 AM

Predicting Alzheimer's Disease with Mixture of Regression Modeling
Frank Appiah; David Fardo, University of Kentucky; Erin L. Abner, University of Kentucky; Glen Mays, University of Kentucky; Richard Charnigo, University of Kentucky
9:20 AM

Predicting High-Spending Customers Using Semiparametric Quantile Regression
Adam Maidman, University of Minnesota; Lan Wang, University of Minnesota
9:20 AM

Evaluation of Logistic and Cox Regression Models Using Simulated Survival Data and Clinical Practice Research Datalink
Jessica Kim , FDA; Chenyi Pan, University of Virginia; Clara Y. Kim, FDA/CDER; Esther Zhou, FDA/CDER
9:20 AM

HVAR: High-Dimensional Forecasting via Interpretable Vector Autoregression
David Matteson, Cornell University; William B. Nicholson, Cornell University ; Jacob Bien, Cornell University
9:25 AM

A Simultaneous Variable Selection and Clustering Method for High-Dimensional Multinomial Regression Model
Sheng Ren, University of Cincinnati; Jason Lu, Cincinnati Children's Hospital Research Foundation; Emily Lei Kang, University of Cincinnati
9:35 AM

A New Stochastic Regime-Switching Model with Time-Varying Regression Coefficients and Error Variances
Xiaojin Dong, SUNY Stony Brook
9:50 AM

Estimation for Bivariate Quantile Varying Coefficient Model
Linglong Kong, University of Alberta; Haoxu Shu, University of Alberta; Chad He, Fred Hutchinson Cancer Research Center; Giseon Heo, University of Alberta; Martin Styner, The University of North Carolina at Chapel Hill; John Gilmore, The University of North Carolina at Chapel Hill; Hongtu Zhu, The University of North Carolina at Chapel Hill
9:55 AM

Variable Selection for Quantile Regression Under General Censoring Scheme
Lan Wang, University of Minnesota
10:35 AM

Bayesian Signal-Response Data Nondestructive Inspection Test Planning
Yew-Meng Koh, Hope College; William Q. Meeker, Iowa State University
10:35 AM

Consistency of Penalized Cross-Validation for Model Selection
Jieyi Jiang, The Ohio State University; Steven N. MacEachern, The Ohio State University; Yoonkyung Lee, The Ohio State University
10:35 AM

Regularized Ordinal Logistic Regression via Coordinate Descent
Michael Wurm, University of Wisconsin - Madison; Bret Hanlon, University of Wisconsin - Madison
10:35 AM

Consistent Estimation in Partially Linear Models with Correlated Observations
Liangdong Fan; Cidambi Srinivasan, University of Kentucky; Richard Charnigo, University of Kentucky
10:35 AM

Comparison of Multiple Imputation Methods for Categorical Survey Items with High Missing Rates: Application to the Family Life, Activity, Sun, Health, and Eating Study
Benmei Liu, National Cancer Institute; Erin Hennessy, National Cancer Institute; April Oh, National Cancer Institute; Linda Nebeling, National Cancer Institute
10:35 AM

A Genomically Informed High-Dimensional Predictor for Microbial Community Metabolic Profiles
Himel Mallick, Harvard; Eric Franzosa, Harvard; Lauren Mclver, Harvard; Soumya Banerjee, Harvard; Alexandra Sirota-Madi, Broad Institute; Aleksandar Kostic, Broad Institute ; Clary B. Clish, Broad Institute; Hera Vlamakis, Broad Institute; Ramnik Xavier, Broad Institute; Curtis Huttenhower, Harvard
10:50 AM

Spectral Inverted-Wishart: A Flexible Cross-Covariance Function for Multivariate Spatio-Temporal Data
Leo Duan, Duke University; Rhonda Szczesniak, Cincinnati Children's Hospital; Xia Wang, University of Cincinnati
11:05 AM

Exact Subset Selection in Regression via Modern Optimization
Rahul Mazumder, MIT
11:15 AM

On the Impact of Informative Nonresponse in Logistic Regression
Joanna Wang, University of Technology Sydney
11:35 AM

A Case Study on the Use of Propensity Score Adjustments with Web Survey Data
Van Parsons, CDC/NCHS
11:35 AM

Doubly Robust Estimation of Optimal Treatment Regime in Additive Hazards Regression
Wenbin Lu, North Carolina State University; Suhyun Kang, North Carolina State University
11:50 AM

Multilevel Quantile Regression Models for Complex Surveys
Jing Wang, St. Louis University; John Fu, Saint Louis University
11:50 AM

Sending Pre-Notice Postcards to Increase Reponse and Decrease Cost for the Current Population Survey
Allison Zotti, U.S. Census Bureau; Louis Avenilla, U.S. Census Bureau; Gina Walejko, U.S. Census Bureau
11:50 AM

JSM 2016 Online Program

Keyword Search

ASA Meetings Department

Share