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 186 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Tuesday, 08/02/2016

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

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

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

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

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

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

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

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

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

Constructing Generalized Variance Functions with Linear Regression Trees
Greg Erkens, Bureau of Labor Statistics
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

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

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

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

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

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

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

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

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

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

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

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

Wednesday, 08/03/2016

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Thursday, 08/04/2016

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

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

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

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

Variable Selection for Quantile Regression Under General Censoring Scheme
Lan Wang, University of Minnesota
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

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

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

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

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

JSM 2016 Online Program

Keyword Search

ASA Meetings Department

Share