JSM 2017 Online Program

Keyword Search

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Keyword Search Criteria: Modeling returned 209 record(s)

Sunday, 07/30/2017

Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction
John Tipton, Colorado State University; Mevin Hooten, Colorado State University

ROS Regression: Integrating Regularization with Optimal Scaling for Predictive Modeling of High-Dimensional Data
Jacqueline J Meulman, Leiden University
2:05 PM

Network Time Series Modeling
Marina Knight, University of York; Matthew Nunes, Lancaster University; Guy Nason, University of Bristol
2:05 PM

Modeling Maxima in Financial Time Series with Dynamic Generalized Extreme Value Distribution
Zifeng Zhao, University of Wisconsin-Madison; Zhengjun Zhang, University of Wisconsin; Rong Chen, Rutgers University
2:05 PM

Network Cross-Validation by Edge Sampling
Tianxi Li; Liza Levina, University of Michigan; Ji Zhu, University of Michigan
2:20 PM

Spatial Modeling of Object Data: Analysing Dialect Sound Variations Across the UK
Shahin Tavakoli, University of Cambridge; Davide Pigoli, University of Cambridge; John AD Aston, University of Cambridge
2:30 PM

Predictive Modeling with Composite of Popular Distributions
Min Deng, Towson University; Mostafa S Aminzadeh, Towson University
2:35 PM

Using an Automated News Sentiment Analysis as an Additional Trading Rule for High Frequency Trading Engine
Brahim Brahim, BDV Big Data Visualizations Inc
2:35 PM

New Problem Settings for Predictive Modeling of High-Dimensional Data
Vladimir Cherkassky, University of Minnesota
2:55 PM

A Hierarchical Model for Network Data in a Latent Hyperbolic Space
Anna Smith; Catherine Calder, The Ohio State University
3:20 PM

Data integration using identification and analysis of a statistical causal network to hypothesize stable pathways through different biological levels
Azam Yazdani, The University of Texas School of Public Health, Houston; Akram Yazdani, Icahn School of Medicine at Mount Sinai
3:35 PM

Practical Heteroskedastic Gaussian Process Modeling for Large Simulation Experiments
Mickael Binois; Robert Gramacy, Virginia Tech Department of Statistics; Mike Ludkovski, University of California, Santa Barbara
4:05 PM

Modeling Nonresponse Bias Likelihood and Response Propensity: The Design and Implementation of Statistical Models to Identify Cases for Interventions During Data Collection
Daniel Pratt, RTI International; Jeffrey Rosen, RTI International; Michael Duprey, RTI International; Jamie Wescott, RTI International
4:20 PM

Modeling and Analyzing Familial Binary Data Using Vines and Pair-Copula Constructions
N. Rao Chaganty, Old Dominion University; Yihao Deng
4:20 PM

Large Scale Multivariate CAR Modeling
Robert Lund, Clemson University; Christopher McMahan, Clemson University; Yan Liu, Clemson University
4:30 PM

Causal Modeling of Exposure to Repetitive Head Impacts on Tractrography Outcomes
Yorghos Tripodis, Boston University
4:45 PM

T. W. Anderson's Seminal Contributions to Econometrics
Cheng Hsiao, University of Southern California
4:55 PM

Statistical Modeling on Ingredients for Sugar Reduction
Shankang Qu, PepsiCo; Patricia Delease, PepsiCo
5:05 PM

The Predictive Spatial-Temporal Modeling for the Risk of Fetal Alcohol Syndrome (FAS) in Newborns Exposed to Alcohol During Pregnancy
Bu Hyoung Lee, Loyola University Maryland; Alexandra D. Carides, Temple University; Helen Anni, Temple University
5:05 PM

Joint Modeling of Marker and Event Processes While Adjusting for Dependent Observation
Richard John Cook, University of Waterloo
5:20 PM

Predicting Crude Oil Price Using the Non-Stationary Extreme Value Modeling
Kumer Das, Lamar University; Audrene Edwards, Lamar University
5:35 PM

Monday, 07/31/2017

Mixture DOE Approach for Weights Optimization in Regression Ensembles
Stanislav Zakharkin, PepsiCo

Bayesian Mixed Effect Location Scale Model for Ecological Momentary Assessment Data
Xiaolei Lin, University of Chicago; Donald Hedeker, University of Chicago

Joint Modeling of Longitudinal Trajectories and Censoring Mechanism Using Shared Latent Random Variables
Miran Jaffa, American University of Beirut; Ayad A Jaffa, American University of Beirut

How Can Disease Progression Modeling Help Us Build Better Clinical Trials?
Melanie Quintana, Berry Consultants

Local Odds Ratio Is More Efficient Than Correlation Coefficient For Modeling Longitudinal Ordinal Data
Xinkai Zhou, Statistics Core@UCLA; Ronghui Xu, University of California, San Diego; David Elashoff, University of California, Los Angeles

Modeling Excess Zeroes in an Integrated Analysis of Vaccine Safety
Roger Maansson, Pfizer Inc.; David Radley, Pfizer Inc.; Qin Jiang, Pfizer Inc.; Scott Patterson, Pfizer Inc.; Judith Absalon, Pfizer Inc.; John Perez, Pfizer Inc.

Induced Tumor Growth in Rats: Modeling and Estimation
Charles Smith, North Carolina State Univ.; Henry Tuckwell, Monash University

Emax Modeling for Assessing Dose-Response Relationships Using JMP
Beibo Zhao, University of North Carolina at Chapel Hill; Richard C. Zink, JMP Life Sciences, SAS Institute, Inc.

Predict NBA 2016-2017 Regular Season MVP Winner
Mason Chen, Mason Chen Consulting

Predict NBA 2016-2017 Regular Season Team Winning%
Timothy Liu; Mason Chen, Mason Chen Consulting

Dynamic Latent Factor Modeling of UN Voting Networks
Bomin Kim, Pennsylvania State University; Xiaoyue Niu, Penn State University; David Hunter, The Pennsylvania State University; Xun Cao, The Pennsylvania State University

Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp

Migratory Bird Surveys and the Modeling of Seabird Populations
Robert Fowler

Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events
Todd Wilson, North Carolina State University; Sujit K Ghosh, North Carolina State University

Consumer Spending and Federal Reserve
Gaurav Sharma, The EMMES Corporation; Bhanu Shandilya, Mixpanel; Aditi Pradeep Sharma, UMBC

Extreme Value Based Methods for Modeling Elk Dispersal
Dhanushi Wijeyakulasuriya, Pennsylvania State University; Ephraim M Hanks, The Pennsylvania State University; Benjamin A Shaby, Penn State University

A Terminal Trend Model for Longitudinal Medical Cost Data and Survival
Qian Yang, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Tor D. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Anna N. A. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Jeffrey C. Munson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Zhigang Li, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire

Green Power Statistics: Local Wind Speed Modeling as Basis for Wind Turbine Performance Prediction
Marina Nechayeva, LaGuardia Community College ; Malgorzata Marciniak, LaGuardia Community College; Vladimir Przhebelskiy , LaGuardia Community College ; Michael Wiley, LaGuardia Community College ; Paul DeVries, LaGuardia Community College

Jointly Modeling the Patient and Consumer Centeredness of Health Care Spending
Frank Yoon, IBM Watson Health; Eli Cutler, IBM Watson Health; Brian Hochrein, IBM Watson Health; Gary Pickens, IBM Watson Health; Hal Skinner, IBM Watson Health; Michael A Head, IBM Watson Health

Using Random Survival Forest Modeling to Predict Research and Career Outcomes for the National Institutes of Health's Medical Scientist Training Program Trainees
Katie Patel, National Institutes of Health, Office of Extramural Research; Deepshikha Roychowdhury, National Institute of Health, Office of Extramural Research; Katrina Pearson, National Institutes of Health, Office of Extramural Research

Bayesian Regression Modeling with the Tilted Beta Distribution
Eugene Hahn, Salisbury University
8:35 AM

Detection of Prostate Cancer with Multi-Parametric MR Imaging Models Utilizing the Anatomic Structure of the Prostate
Jin Jin, University of Minnesota; Joseph Koopmeiners, University of Minnesota; Lin Zhang, University of Minnesota; Greg Metzger, University of Minnesta; Ethan Leng, University of Minnesta
8:35 AM

Modeling Spatial Extremes Using Positive Stable Mixtures
Gregory Bopp
8:45 AM

Consumer Spending and Federal Reserve
Gaurav Sharma, The EMMES Corporation; Bhanu Shandilya, Mixpanel; Aditi Pradeep Sharma, UMBC
8:45 AM

Objective Bayesian Modeling of Count Data
Si Cheng, University of Cincinnati; Xia Wang, University of Cincinnati
8:50 AM

Quantile Function Modeling with Application to Salinity Tolerance Analysis in Plant Growth Data
Gaurav Agarwal; Ying Sun, King Abdullah University of Science and Technology
8:50 AM

Abstract for Dynamic Multi-Resolution Smoothing Using Multi-Source Exchangeability Models
Alexander Kaizer; Joseph Koopmeiners, University of Minnesota; Brian P. Hobbs, The University of Texas MD Anderson Cancer Center
8:55 AM

Migratory Bird Surveys and the Modeling of Seabird Populations
Robert Fowler
9:00 AM

The TimeGeo Modeling Framework for Urban Motility Without Travel Surveys
Marta C. Gonzalez, MIT
9:25 AM

Nonparametric Bayes Modeling of Populations of Networks
David Dunson, Duke University
10:35 AM

Big Network Modeling and Anomaly Detection for Cyber-Security Applications
Patrick Rubin-Delanchy, University of Oxford
10:35 AM

Nonparametric Modeling of Heavy-Tailed Distributions with Applications to Extreme Events
Todd Wilson, North Carolina State University; Sujit K Ghosh, North Carolina State University
10:45 AM

Modeling and Estimation of Contagion-Based Social Network Dependence with Time-To-Event Data
Lin Yu, North Carolina State University; Wenbin Lu, North Carolina State University
10:50 AM

Modeling Count Data from a Complex Survey using Pseudo Maximum Likelihood
Mulugeta Gebregziabher, MUSC; Lin Dai, Medical University of South Carolina
10:55 AM

Predict NBA 2016-2017 Regular Season MVP Winner
Mason Chen, Mason Chen Consulting
11:05 AM

Predict NBA 2016-2017 Regular Season Team Winning%
Timothy Liu; Mason Chen, Mason Chen Consulting
11:10 AM

Analysis of Multilevel Complex Survey Data: Comparison of Procedures from Several Software
Lin Dai, Medical University of South Carolina; Mulugeta Gebregziabher, MUSC
11:15 AM

Task-Level Error Scale Modeling Using Tracking Data
Roger Bailey, Ohio State Univ
11:15 AM

Modeling Computer Network Data Using Markov Modulated Poisson Processes
Mark Briers, Alan Turing Institute
11:25 AM

Soft-Thresholding Operator for Modeling Sparse Time Varying Effects in Survival Analysis
Yuan Yang, University of Michigan; Jian Kang, University of Michigan; Yi Li, University of Michigan
11:35 AM

Bayesian Modeling and Decision Theory for Non-Homogeneous Poisson Point Processes
Jiaxun Chen, University of Missouri-Columbia; Athanasios Micheas, Univ of Missouri- Columbia; Scott H. Holan, University of Missouri
12:05 PM

Metabolite Prediction in the Human Microbiome
Himel Mallick, Harvard University; Eric A. Franzosa, Harvard University; Lauren J. Mclver, Harvard University; Soumya Banerjee, University of Oxford; Alexandra Sirota-Madi, Evelo Biosciences; Aleksandar D. Kostic, Harvard University; Clary B. Clish, Broad Institute; Hera Vlamakis, Broad Institute; Ramnik Xavier, Massachusetts General Hospital; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:05 PM

Modeling and Estimation for Self-Exciting Models of Terrorist Activity
Nicholas Clark; Philip M Dixon, Iowa State University
2:05 PM

A Spatio-Temporal Cluster Process for Modeling Storm Cells
Charmaine Dean, University of Waterloo; Alisha Albert-Green, University of Toronto
2:05 PM

Dynamic Prediction of End-Stage Renal Disease Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease
Liang Li, University of Texas MD Anderson Cancer Center
2:25 PM

A Factor Analysis Approach for Modeling the Structure of Time-Series Covariance Matrices
Teal Guidici; George Michailidis, University of Florida
2:35 PM

Joint Analysis of Left-Censored Longitudinal Biomarker and Binary Outcome via Latent Class Modeling
Menghan Li, Pennsylvania State University ; Lan Kong, Pennsylvania State University
2:35 PM

Using a Child-To-Parent Linking Dataset in Administrative Records Modeling for Census Nonresponse Followup
Scott Konicki
2:45 PM

Modeling Heterogeneous Variance-Covariance Components in Two-Level Models
George Leckie, University of Bristol; Robert French, University of Bristol; Chris Charlton, University of Bristol; William Browne, University of Bristol
2:55 PM

Functional Data Modeling of Dynamic PET Data
R. Todd Ogden, Department of Biostatistics, Columbia University; Yakuan Chen, Columbia University; Jeff Goldsmith, Columbia University
2:55 PM

Individualized Multilayer Tensor Learning with an Application in Imaging Analysis
Xiwei Tang, University of Illinois at Urbana-Champaign; Xuan Bi, Yale University; Annie Qu, University of Illinois at Urbana-Champaign
3:25 PM

A Flexible Joint Longitudinal-Survival Model for a Simultaneous Modeling of Multiple Longitudinal Biomarkers
Sepehr Akhavan Masouleh, UC Irvine; Babak Shahbaba, University of California, Irvine; Alexander Vandenberg-Rodes, UC Irvine; Daniel L. Gillen, University of California, Irvine
3:25 PM

Tuesday, 08/01/2017

Inferring Intra-Tumor Heterogeneity by Jointly Modeling Copy Number Aberrations and Somatic Point Mutations
Chong Jin; Wei Sun, Fred Hutchinson Cancer Research Center; Mengjie Chen, Department of Medicine, University of Chicago

Bivariate Copula Modeling of Genetic Effects on AMD Progression with Intermittent Assessment Times
Tao Sun, University of Pittsburgh; Yi Liu; Wei Chen, University of Pittsburgh; Ying Ding, University of Pittsburgh

A Revisit to Nonlocal Method in High-Dimensional Subset Modeling
Ho-Hsiang Wu, National Cancer Institute, NIH; Yuanyuan Bian, University of Missouri

A Mixed-Effects Modeling Approach to Studying the Impact of Mind Wandering on Selective Attention
Michael Geden, North Carolina State Univ; Jing Feng, North Carolina State Univ; Ana-Maria Staicu, North Carolina State University, Department of Statistics

Joint Modeling of Multiple Longitudinal Ordinal Outcomes and Competing Risks: An Application to Parkinson's Disease Study
Jun Zhang, UT Health Science Cener; Shen Luo, UT School of Public Health

Image-On-Image Regression: a Spatial Bayesian Latent Factor Model for Predicting Task-Evoked Brain Activity Using Task-Free MRI
Cui Guo, University of Michigan

A Strategy for Evaluating Goodness-of-Fit for a Logistic Regression Model Using the Hosmer-Lemeshow Test on Samples from a Large Data Set
Michael Pennell, Ohio State University; Adam Bartley, Department of Health Sciences Research, Mayo Clinic; Stanley Lemeshow, College of Public Health, The Ohio State University; Gary Phillips, Center for Biostatistics, The Ohio State University

Diffusion Dependent Methylation Mechanics
Alan Min, Purdue University; Doraiswami Ramkrishna, Purdue University; Chongli Yuan, Purdue University

Instruction Time, Home Environment, and Science Achievement: a Multi-Level Analysis
Tong Shen, Boston College

Modeling and Estimating the Behavior of Photo-Switching Fluorophores in Super-Resolution
Lekha Patel, Imperial College London; Edward Cohen, Imperial College London

Modeling Youth Tobacco and E-Cigarette Transitions
Ilan Rich, Johns Hopkins University ; Raymond Niaura, Schroeder Institute, Truth Initiative ; Amanda Johnson, Schroeder Institute, Truth Initiative ; Andrea Villanti, Schroeder Institute, Truth Initiative ; David Abrams, Schroeder Institute, Truth Initiative

Supervised Binning Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Kendell Churchwell, C Spire

A Bayesian Race Model for Response Times Under Cyclic Stimulus Discriminability
Deborah Kunkel, The Ohio State University; Kevin Potter, University of Massachusetts; Trisha Van Zandt, The Ohio State University; Peter F Craigmile, The Ohio State University; Mario Peruggia, The Ohio State University

Adaptive Bayesian Modeling and Prediction of Patient Accrual with Varying Activation Time in Multicenter Clinical Trials
Junhao Liu, University of Kansas Medical Center; Yu Jiang, School of Public Health, University of Memphis; Jo Wick, University of Kansas Medical Center; Byron Gajewski, Department of Biostatistics, University of Kansas Medical Center

Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa

Quantifying Uncertainty in Latent Dirichlet Allocation
Christine Chai, Duke University

Modeling Transcranial Magnetic Stimulation-Driven Stimulus-Response Curves
Caitlin I. Steiner, Department of Statistics, University of Virginia; Sahana N. Kukke, Department of Biomedical Engineering, The Catholic University of America; Nivethida Thirugnanasambandam, Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological ; Mark Hallett, Human Motor Control Section, Medical Neurology Branch, National Institute of Neurological ; Daniel M. Keenan, Department of Statistics, University of Virginia

Parsimonious Modeling for Kinematic Data
Md Islam, North Carolina State University; Jonathan W. Stallings, North Carolina State University

Longitudinal Modeling in Applied Research: Implications for Improving Practice
Niloofar Ramezani, University of Northern Colorado; Kerry Duck, University of Northern Colorado; Austin Brown, University of Northern Colorado; Michael Floren, University of Northern Colorado ; Krystal Hinerman, Lamar University; Trent Lalonde, University of Northern Colorado

Bayesian Semiparametric Modeling of Near Infra-Red Spectroscopy Data
Timothy D Johnson, University of Michigan
8:35 AM

Process Convolution Approaches for Modeling Interacting Trajectories
Henry Scharf, Colorado State University; Mevin Hooten, Colorado State University; Devin Johnson, NOAA Alaska Fisheries Science Center; John Durban, NOAA Southwest Fisheries Science Center
8:35 AM

Joint Modeling of Mean, Dispersion, and Weights
Katherine Irimata, Arizona State University
8:35 AM

Sparse Dynamic Spatio-Temporal Modeling Using Implied Advection
Robert Richardson, Brinham Young University
8:55 AM

SAGA: Socially- and Geography-Aware Mobility Modeling Framework
Abel Rodriguez, University of California, Santa Cruz
9:05 AM

A Bayesian Penalized Hidden Markov Model for Animal Interactions
Meridith Bartley, Penn State University; Ephraim M Hanks, The Pennsylvania State University; David Hughes, Penn State Univeristy
9:05 AM

Nonlinear Hierarchical Modeling of Experimental Infection Data: Type I Error Control for Small-Sample Studies
Michael Singleton, University of Kentucky; Patrick Breheny, University of Iowa
9:10 AM

Joint Modeling of Longitudinal and Survival Data with a Covariate Subject to a Limit of Detection
Abdus Sattar, Case Western Reserve University; Sanjoy K Sinha, Carleton University
9:25 AM

Spatial-Temporal Modeling of Heavy Tailed Data
Gabriel Huerta, University of New Mexico
9:35 AM

Adaptive Designs in Phase II Basket Clinical Trials
Kristen Cunanan; Alexia Iasonos, Memorial Sloan Kettering Sloan Cancer Center; Ronglai Shen, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
9:35 AM

Modeling Weather-Induced Home Insurance Risks with Support Vector Machine Regression
Vyacheslav Lyubchich, University of Maryland Center for Environmental Science; Yulia R. Gel, University of Texas at Dallas; Asim Kumer Dey, University of Texas at Dallas
9:35 AM

Defining and Modeling Two Interpretations of Perception in Removal-Distance Models of Point-Count Surveys
Adam Martin-Schwarze, Iowa State University; Jarad Niemi, Iowa State University; Philip M Dixon, Iowa State University
9:35 AM

Statistical Modeling of Crowdsourced Content for the Prediction of Crime
Matthew Gerber, University of Virginia
9:50 AM

Optimal Individualized Early Warning for Inpatient Adverse Events
Hossein Soleimani, Johns Hopkins University; Suchi Saria, Johns Hopkins University
10:35 AM

A Geostatistical Approach to Modeling Climate Teleconnections
Joshua Hewitt, Colorado State University; Jennifer A Hoeting, Colorado State University; James Done, National Center for Atmospheric Research; Erin Towler, National Center for Atmospheric Research
10:35 AM

Quantifying Uncertainty in Latent Dirichlet Allocation
Christine Chai, Duke University
11:00 AM

Improved Activation Detection via Rice-Distributed fMRI Time Series Modeling
Daniel Adrian, Grand Valley State University; Ranjan Maitra, Iowa State University; Daniel B. Rowe, Marquette University
11:05 AM

Segmented regression modeling of tuberculosis incidence surveillance data in the U.S. to analyze potentially changing trends
Brock Stewart, Centers for Disease Control and Prevention; Lori Armstrong, Centers for Disease Control and Prevention; Carla Winston, Centers for Disease Control and Prevention
11:05 AM

Parsimonious Modeling for Kinematic Data
Md Islam, North Carolina State University; Jonathan W. Stallings, North Carolina State University
11:10 AM

Polygenic Risk Modeling Techniques to Incorporate LD, Functional Annotations of SNPs And/Or Multiple Phenotypic Information Using Genome-Wide Association Study Summary-Level Data
Ting-Huei Chen, Université Laval; Nilanjan Chatterjee, Johns Hopkins University; Jianxin Shi, National Cancer Institute
11:35 AM

MIMoSA: Method for Inter-Modal Segmentation Analysis
Alessandra Valcarcel, University of Pennsylvania; Kristin Linn, University of Pennsylvania; Simon Vandekar, University of Pennsylvania; Theodore Satterthwaite, Univ of Pennsylvania; Peter A Calabresi, The Johns Hopkins University; Russell Taki Shionhara, UPenn
11:35 AM

Semiparametric Time Varying Coefficient Models for Matched Case-Crossover Studies
Ana Maria Ortega-Villa, National Institutes of Health; Inyoung Kim, Virginia Tech
11:55 AM

Bayesian Approaches for Modeling Functional Connectivity in Neuroimaging
Sanjib Basu, University of Illinois At Chicago; Nairita Ghosal, University of Illinois at Chicago
11:55 AM

Supervised Binning Techniques for Predictive Modeling
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Kendell Churchwell, C Spire
12:10 PM

Spatial Small Area Smoothing Models for Handling Survey Data with Nonresponse
Kevin Watjou, Hasselt University; Christel Faes, University Hasselt; Russell S. Kirby, College of Public Health, University of South Florida; Andrew Lawson, Department of Public Health Sciences, Medical University of South Carolina; Rachel Carroll, National Institute of Environmental Health Sciences; Mehreteab Aregay, Department of Public Health Sciences, Medical University of South Carolina; Yannick Vandendijck, University Hasselt
2:05 PM

Explaining Preference Heterogeneity with Mixed Membership Modeling
Marc Dotson, Brigham Young University
2:05 PM

Multivariate Stochastic Volatility Modeling via the Spectral Decomposition
Victor Solo, University of New South Wales
2:20 PM

Predictive Modeling of Health Care Associated Infections (HAIs) Using National Linked Individual Health Care Data in Scotland
Kimberley Kavanagh, University of Strathclyde; Jiafeng Pan, University of Strathclyde; Chris Robertson, University of Strathclyde; Marion Bennie, University of Strathclyde; Charis Marwick, University of Dundee; Colin McCowan, University of Glasgow
2:20 PM

Modeling of Stock Indices with HMM-SV Models
John Wulu, DHS/ICE & HSI; Edesiri B Nkemnole, Department of Mathematics, University of Lagos; John T Wulu, University of Maryland University College
2:20 PM

Learning with Latent Trajectory Classes
Chen-Pin Wang, UTHSCSA; Booil Jo, Stanford University
2:25 PM

Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events
Kwun Chuen Gary Chan, University of Washington; Mei-Cheng Wang, Johns Hopkins University
2:30 PM

Big effects of negative results in Big Data: classification errors with differential effects arise from unmodeled latent classes in value-added modeling
Futoshi Yumoto, Collaborative for Research on Outcomes and Metrics; Comcasts; Rochelle E Tractenberg, Georgetown University
2:35 PM

Copula Modeling for Data with Ties
Yichen Qin, University of Cincinnati; Yan Li, University of Connecticut; Yang Li, Renmin University of China; Jun Yan, University of Connecticut
2:50 PM

Modeling Power to Detect Changes in HIV Incidence Through Routine ANC Attendance Data
Britta J. Jewell, UC Berkeley; Jennifer Smith, Imperial College London; Timothy B. Hallett, Imperial College London; Ann Duerr, Fred Hutchinson Cancer Research Center
2:55 PM

A Bayesian Variable Selection Approach Yields Improved Brain Activation from Complex-Valued fMRI
Cheng-Han Yu, UC Santa Cruz; Raquel Prado, UC Santa Cruz; Hernando Ombao, KAUST and UC Irvine; Daniel B. Rowe, Marquette University
3:05 PM

A Bayesian Approach to Latent Class Modeling with Ordinal Response Data
Padma Sharma, UC Irvine
3:05 PM

Model Averaged Accelerated Failure-Time Models for Modeling Chemical Risk
Matthew Wheeler
3:05 PM

A Sequential Split-Conquer-Combine Approach for Gaussian Process Modeling in Computer Experiments
Ying Hung; Minge Xie, Rutgers University; Chengrui Li, Rutgers University
3:20 PM

Transformation Models for Doubly-Censored and Clustered Survival Data
Jane-Ling Wang, University of California, Davis; Cong Xu, Stanford University; Yuru Su, Fred Hutchinson Cancer Research Center
3:20 PM

Joint Point Pattern Modeling for Species Co-Occurrence Using Camera Trap Data
Erin M Schliep, University of Missouri; Alan E. Gelfand, Duke University; James S Clark, Duke University; Daniel Taylor-Rodriguez, Michigan State University
3:20 PM

Gaussian Mixture Modeling Under Measurement Uncertainty
Shuchismita Sarkar, University of Alabama; Volodymyr Melnykov, The University of Alabama; Rong Zheng, University of Alabama
3:35 PM

Modeling Collective Animal Movement Through Interactions in Behavioral States
James Russell, Muhlenberg College; Ephraim M Hanks, The Pennsylvania State University; David Hughes, Penn State Univeristy
3:35 PM

Causal Models for Numerical Variables in Media Planning
Igor Mandel, Telmar Inc.
3:35 PM

Wednesday, 08/02/2017

From Estimates to Consequences: How Do We Make Results of Statistical Analyses Useful for Health Policy Decision Making?
Ruth Etzioni, Fred Hutchinson Cancer Research Center

Utilizing Statistical DOE and Modeling to Understand Foaming for Low VOC Paint Formulations
Wenyu Su, The Dow Chemical Company; Jeff Sweeney, The Dow Chemical Company; Sudhakar Balijepalli, The Dow Chemical Company; Sushma Sanketh, The Dow Chemical Company; Caroline Hinson, Texas A&M University

A Bayesian Structural Model for Designing Financial Incentive Offers to Automotive Dealerships
Wenyi Wu, University of Michigan; Peter Lenk, University of Michigan

A Hierarchical Bayesian Approach to Modeling Lifetime Data
Colin Lewis-Beck; Eric Mittman, Iowa State University

Modeling Overdispersed Count Data with the Poisson-Inverse Gaussian Distribution
Kimberly Weems, North Carolina Central University; Paul Smith, University of Maryland

Joint Sentiment Topic Modeling of Text Data
Sahba Akhavan Niaki, University of Florida; George Michailidis, University of Florida

Better Measurement of the Microbiome by Modeling and Removing Amplified Sequencing Errors
Benjamin John Callahan, North Carolina State University
8:35 AM

Joint Modeling and Analysis of Microbiome with Other Omics Data
Michael C. Wu, Fred Hutchinson Cancer Research Center
9:00 AM

Increasing Efficiency of Oncology Basket Trials Using a Bayesian Approach
Zheyu Liu, The University of Texas Health Science Center at Houston; Rong Liu, Bayer Healthcare; Mercedeh Ghadessi, Bayer Healthcare; Richardus.vonk Vonk, Bayer Healthcare
9:05 AM

Consistency in Professional Sports: The NFL's Parity Paradox
Michael J. Lopez, Skidmore College; Gregory Matthews, Loyola University Chicago; Benjamin Baumer, Smith College
9:15 AM

Generating Partially Synthetic Geocoded Public-Use Data with Decreased Disclosure Risk Using Differential Smoothing
Harrison Quick, Drexel University; Scott H. Holan, University of Missouri; Christopher Wikle, University of Missouri
9:15 AM

A Geometric Framework for Density Modeling
Sutanoy Dasgupta, Florida State University
9:20 AM

Semiparametric Temporal Process Regression for Prevalence Modeling of Data Subject to Dependent Censoring
Tianyu Zhan, Biostatistics, University of Michigan; Douglas Earl Schaubel, University of Michigan
9:20 AM

Calibration and Evaluation of Agent-Based Models for Disease Modeling
Shannon Gallagher, Carnegie Mellon; Sam Ventura, Carnegie Mellon University; William F Eddy, Carnegie Mellon University, Department of Statistics
9:35 AM

Optimally Identify High Value Subgroups of Patients via Baseline Covariates
Florence Yong, Pfizer Inc.; Lu Tian, Stanford University
9:35 AM

Semiparametric Regression Modeling and Transition-Probability Prediction with Correlated Interval Censored Life-History Data
Daewoo Pak, Michigan State University; Chenxi Li, Michigan State University; David Todem, Michigan State University
9:50 AM

Issues Related to the Modeling and Adustment of High Frequency Time Series
Brian Monsell, U.S. Census Bureau; Tucker McElroy, U. S. Census Bureau
9:55 AM

Joint Sentiment Topic Modeling of Text Data
Sahba Akhavan Niaki, University of Florida; George Michailidis, University of Florida
9:55 AM

Forward Modeling: It's Essential for Palaeoclimatology
Andrew C Parnell, University College Dublin
10:35 AM

Prediction of Pedestrian and Cyclist Accident Rates for City Streets and Intersections
Alex Zolot, HERE; Wanli Cheng, HERE; Rod Megraw, HERE
10:35 AM

Joint Modeling of Recurrent and Terminal Events in Nested Case-Control Studies
Ina Jazic, Harvard University; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health; Virginie Rondeau, INSERM U1219 - ISPED
10:35 AM

A Study of Some Alternative Statistical Methods for the Characterization of Tumor Risk Based on PET Imaging Data
Eric Wolsztynski, University College Cork; Tian Mou, University College Cork; Mark Muzi, UW-Radiology, Neurology & RadOnc; Finbarr O'Sullivan, University College Cork
10:35 AM

Maximum Likelihood Features for Generative Image Models
Lo-Bin Chang, The Ohio State University; Eran Borenstein, Microsoft Research; Wei Zhang, Smartleaf, Cambridge; Stuart Geman, Brown University
10:50 AM

Leveraging Multivariate Modeling and Mapping Techniques to Determine How Athletes' Gastro-Intestinal Comfort Drives Their Sensory Perception of Sports Beverages
Peter John De Chavez, PepsiCo; Jon K. Davis, Gatorade Sports Science Institute; Lindsay B. Baker, Gatorade Sports Science Institute; John R. Stofan, Gatorade Sports Science Institute; Laura Daray, Gatorade Sports Science Institute; Bridget Sopena, Gatorade Sports Science Institute
10:50 AM

Industry Expectations for Statistics Graduates
Hilary Parker, Stitch Fix
10:55 AM

Modeling and Simulation of UEFA Champions League
Saman Muthukumarana, University of Manitoba; Ninad Khargonkar, Indian Institute of Technology - Kanpur
11:05 AM

Fast and Accurate Bayesian Model Criticism and Conflict Detection Using Integrated Nested Laplace Approximations (INLA)
Egil Ferkingstad, University of Iceland; Leonhard Held, University of Zurich; Havard Rue, KAUST
11:05 AM

Adaptive Shrinkage in Polya Tree Type Models
Li Ma, Duke University
11:25 AM

Comparison of Joint Modeling and Landmarking for Dynamic Prediction Under an Illness-Death Model
Krithika Suresh, University of Michigan; Jeremy M. G. Taylor, University of Michigan; Alex Tsodikov, University of Michigan
11:35 AM

Continuous House Price Tiers
Douglas McManus, Freddie Mac
11:35 AM

Bayesian Modeling of Uncertainties in End-Use Electricity Consumption Amounts Inferences
Hiroaki Minato, U. S. Energy Information Administration (EIA)
11:50 AM

Deformation Model Transfer via Equivalent Effects of Lurking Variables in Additive Manufacturing
Arman Sabbaghi, Purdue University; Qiang Huang, University of Southern California
2:05 PM

Statistical Modeling of Large-Scale Neural Ensembles
Shizhe Chen, Columbia University; Ali Shojaie, University of Washington; Eric Shea-Brown, University of Washington; Daniela Witten, University of Washington
2:30 PM

Nested Hierarchical Functional Data Modeling and Inference for the Analysis of Functional Plant Phenotypes
Yuhang Xu, University of Nebraska-Lincoln; Yehua Li, Iowa State University; Dan Nettleton, Iowa State University
2:50 PM

Spatially-Dependent Multiple Testing Under Model Misspecification, with Application to Extreme Event Attribution
Mark Risser, Lawrence Berkeley National Laboratory; Christopher Paciorek, University of California, Berkeley
2:50 PM

Modeling Precipitation Extremes Using Log-Histospline
Whitney Huang, Purdue University; Doug Nychka, National Center for Atmospheric Research; Hao Zhang, Purdue University
3:05 PM

Longitudinal Independent Component Analysis with Application to fMRI Data
Yikai Wang, Emory University; Ying Guo, Emory University
3:05 PM

Outlier Review during Concurrent Seasonal Adjustment of CES State and Area Series
Jonathan Creem, US Bureau of Labor Statistics
3:05 PM

Handling Incomplete Correlated Continuous and Binary Outcomes in Meta-Analysis of Individual Participant Data
Manuel Gomes, London School of Hygiene and Tropical Medicine; Laura Anne Hatfield, Harvard Medical School; Sharon-Lise Normand, Harvard Medical School
3:25 PM

Thursday, 08/03/2017

Dose Selection in Phase 2 Studies for a Drug Combination Using a Response Surface Modeling Technique
Hongtao Zhang, AbbVie Inc.; Jingjing Gao, AbbVie Inc.; Qiming Liao, AbbVie Inc.; Alan Hartford, AbbVie; Jyotirmoy Dey, AbbVie Inc.
8:35 AM

Modeling Financial Durations Using Estimating Functions
Nalini Ravishanker, University of Connecticut; Yaohua Zhang, University of Connecticut; Jian Zou, Worcester Polytechnic Institute; Aerambamoorthy Thavaneswaran, University of Manitoba
8:35 AM

Latent Class Analysis for Modeling and Promoting Online Learning
Jeff Douglas; Shiyu Wang, University of Georgia; Steven Culpepper, University of Illinois
8:35 AM

Bayesian Geostatistical Modeling for MRSA Incidence Estimates
Yi Mu, Centers for Disease Control and Prevention
8:35 AM

A Hierarchical Bayesian Non-Parametric Approach to Modeling Microbial Community Structure
John D O'Brien, Bowdoin College; Chris Quince, University of Warwick
8:35 AM

Challenges and Strategies in Pm Programming
Jing Su, Merck & Co., Inc.
8:55 AM

Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models
Sudipto Banerjee, UCLA Fielding School of Public Health
9:00 AM

Statistical Methods for Interrogating Promoter-Enhancer Interactions Originating from Repetitive Regions Using Hi-C Data
Sunduz Keles, University of Wisconsin-Madison; Ye Zheng, University of Wisconsin
9:55 AM

A Three-Groups Bayesian Approach to Identifying Beneficial and Deleterious Genes with Applications to Parkinson's Disease
Daisy Philtron, The Pennsylvania State University; Benjamin A Shaby, Penn State University
10:05 AM

Comparison and validation of statistical methods for predicting tree failure during storm
Elnaz Kabir; Seth Guikema, University of Michigan
10:05 AM

Learning Curve Estimation in Medical Devices and Procedures: Hierarchical Modeling
Usha Govindarajulu, SUNY Downstate; Michael Matheny, Vanderbilt University; David Goldfarb, Montefiore Medical Center; Marco Stillo, SUNY Downstate Medical Center; Frederic Resnic, Lahey Clinic
10:05 AM

Modeling Spatially Correlated and Heteroscedastic Errors in Ethiopian Maize Trials
Tigist Damesa, University of Hohenheim; Hans-Peter Piepho, University of Hohenheim; Jens Möhring, University of Hohenheim; Johannes Forkman, Swedish University of Agricultural Sciences
10:35 AM

Modeling and Simulation to Detect Unusual Patterns in Genotoxicity Data (Microbial Assays)
Elena Rantou, FDA/CDER
10:35 AM

Leveraging Flexible Modeling Techniques in Data-driven Analytics
Liangyuan Hu, Icahn School of Medicine at Mount Sinai ; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
10:35 AM

Propensity Modeling for Early Respondent Incentive Escalation
Kate Bachtell, NORC University of Chicago; Catherine C Haggerty, NORC University of Chicago; Becki Curtis, NORC at the University of Chicago; Shannon Nelson, NORC University of Chicago; Joanne Hsu, Federal Reserve Board; Jesse Bricker, Federal Reserve Board; Kevin Moore, Federal Reserve Board
10:55 AM

Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models
Tanya Garcia, Texas A&M University; Layla Parast, RAND Corporation
11:00 AM

Bayesian Finite Population Inference for Skewed Survey Data Using Skew-Normal Penalized-Spline Regression
Qixuan Chen, Columbia University; Yutao Liu, Columbia University
11:05 AM

Local Likelihood Estimation for Nonstationary Covariance Functions with Applications to Climate Model Emulation
Yuxiao Li, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology
11:05 AM

Challenges and Opportunities for Structural Equation Modeling in Water Quality
Karen Ryberg, U.S. Geological Survey
11:20 AM

Bayesian Modeling for Weighting Adjustment and Inference in Sample Surveys
Yajuan Si, University of Wisconsin-Madison
11:35 AM

Accounting for the Sampling Scheme in Network Modeling
Harry Crane, Rutgers University; Walter Dempsey, University of Michigan
11:35 AM

A Finite Mixture Model Approach to Regression Under Covariate Misclassification
Jingyu He; P. Richard Hahn, University of Chicago Booth School of Business; Michelle Xia, Northern Illinois University
11:35 AM

On the Use of Empirical Bayes Techniques to Bridge from an in Vitro System to a Clinical Trial
Ya Meng, Sanofi Pasteur; Camille Salamand, Sanofi Pasteur; Robert D. Small, Sanofi Pasteur
11:35 AM

Optimizing Patient Selection for Chemoprevention Through Predictive Modeling
Xi Kathy K Zhou, Weill Cornell Medical College
11:50 AM

Joint Modeling of Genetically Correlated Diseases and Functional Annotations Increases Accuracy of Polygenic Risk Prediction
Yiming Hu, Yale University; Qiongshi Lu, Yale University; Wei Liu, Peking University; Yuhua Zhang, Shanghai Jiao Tong University; Mo Li, Yale University; Hongyu Zhao, Yale University
11:50 AM

Beta Regression for Modeling the ROC as a Function of Continuous Covariates
Sarah Stanley, Baylor University; Jack Tubbs, Baylor University
11:50 AM

JSM 2017 Online Program

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