Name: 2018 Joint Statistical Meetings
Start: 2018-07-28T07:00:00+00:00
End: 2018-08-02
Location: Vancouver Convention Centre

Keyword Search

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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme

Keyword Search Criteria: DIC returned 397 record(s)

Sunday, 07/29/2018

Spatiotemporal Analysis of Environmental Health Risk
Renjun Ma, University of New Brunswick; Edward Hughes, Edward Hughes Consulting

Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa

P-Value Estimation for the Risk Score of a Prediction Model
Heidi Chen, Vanderbilt University Medical Center; Ming Li, Case Western Reserve University; Huiyun Wu, St. Jude Children's Research Hospital; Yu Shyr, Vanderbilt University Medical Center

Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Donggyu Kim, KAIST; Jianqing Fan, Princeton University

A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinally Measured Marker
Krithika Suresh, University of Michigan; Jeremy M.G. Taylor, University of Michigan; Alexander Tsodikov, University of Michigan

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

Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University

The Art of Ensemble Modeling with SPSS Modeler
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Timothy Tate, C Spire

Semiparametric Regression Analysis of Multiple Right- and Interval-Censored Events
Fei Gao, University of Washington; Donglin Zeng, UNC Chapel Hill; Danyu Lin, University of North Carolina
2:05 PM

Retrospective Study Designs for Longitudinal Data Obtained from a Biobank-Linked Electronic Medical Record
Jonathan Schildcrout, Vanderbilt University Medical Center
2:05 PM

Methods for Estimating Trend in Indicators Monitored with Complex Survey Designs
Leigh Starcevich, Western EcoSystems Technology Inc. (WEST)
2:05 PM

Predictive Inference for Locally Stationary Time Series with an Application to Climate Data
Srinjoy Das, UCSD; Dimitris Politis, UCSD
2:05 PM

Application of Propensity Score Quintile Matching for Baseline Parameters in a Medical Device Trial Design
Hong Wang, Boston Scientific Corporation; Songtao Jiang, Boston Scientific; Peter Lam, Boston Scientific
2:05 PM

High-dimensional Cost-constrained Regression via Non-convex Optimization
Yufeng Liu, University of North Carolina at Chapel Hill
2:05 PM

Regression-Adjusted Estimators in Randomized Experiments with a Diverging Number of Predictors
Lihua Lei, UC Berkeley; Peng Ding, UC Berkeley
2:20 PM

Quantile-Optimal Treatment Regimes
Lan Wang, University of Minnesota; Yu Zhou, University of Minnesota; Rui Song, North Carolina State University; Ben Sherwood, University of Kansas
2:25 PM

Boost Your Analytical Power by Utilizing Text Data
Jin Su, Johnson & Johnson Vision Care; Danielle Boree, Johnson & Johnson Vision
2:25 PM

Ranked Sparsity Methods for Transparent Model Selection
Ryan Andrew Peterson, University of Iowa; Joseph Cavanaugh, University of Iowa
2:35 PM

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
2:40 PM

Factor GARCH-Ito Models for High-Frequency Data with Application to Large Volatility Matrix Prediction
Donggyu Kim, KAIST; Jianqing Fan, Princeton University
2:45 PM

The Measurement of the Aggregate Economic Performance for the United States via the Composite Economic Index (CEI)
Brian Sloboda, University of Phoenix; Chandrasekhar Putcha, California State University, Fullerton
2:50 PM

A Ratio-Based Method for Predicting Point Differentials in Sports
Andrew Swift, University of Nebraska at Omaha; Andrew Tew, University of Nebraska at Omaha
2:50 PM

Ratio of Vector Lengths as an Indicator of Sample Representativeness for a Multipurpose Survey
Hee-Choon Shin, CDC/NCHS
3:05 PM

Leveraging Existing Information in Medical Device Clinical Trials
Rajesh Nair, CDRH/FDA; Xuefeng Li, CDRH/FDA; Laura Thompson, CDRH/FDA
3:05 PM

Simulation Study on the Impact of Accuracy of Estimated Genetic Relationship Matrices on Predicting Genotype Performance
MINGZHU SUN, The University of Queensland; Vivi Arief, UNIVERSITY OF QUEENSLAND; Ian DeLacy, UNIVERSITY OF QUEENSLAND; Kaye Basford, UNIVERSITY OF QUEENSLAND; Wen-Hsi Yang, UNIVERSITY OF QUEENSLAND
3:20 PM

Model Averaging in a Multiplicative Heteroscedastic Model
Alan Wan, City Univ of Hong Kong; Xinyu Zhang, Chinese Academy of Sciences; Yanyuan Ma, Penn State University
3:25 PM

The Art of Ensemble Modeling with SPSS Modeler
Zhen Zhang, C Spire; Lei Zhang, Mississippi State Dept. of Health; James Veillette, C Spire; Timothy Tate, C Spire
3:30 PM

Adaptively-Tuned Particle Swarm Optimization with Application to Spatial Design
Matthew Simpson, University of Missouri; Christopher K. Wikle, University of Missouri; Scott H. Holan, University of Missouri/U.S. Census Bureau
4:05 PM

Weak Signals in High-Dimension Regression: Detection, Estimation and Prediction
Yi Li
4:05 PM

Implementation of Adaptive Design on the Medicare Current Beneficiary Survey
Christopher Ward, NORC at the University of Chicago; Felicia LeClere, NORC at the University of Chicago; Kari Carris, NORC at the University of Chicago; Stephen Cohen, NORC at the University of Chicago; Dean Resnick, NORC; Micah Sjoblom, NORC at the University of Chicago; Jennifer Vanicek, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago
4:20 PM

Nonparametric Estimation of Sufficient Forecasting Using High-Dimensional Predictors
Xiufan Yu, Penn State University; Jiawei Yao, Citadel LLC; Lingzhou Xue, Penn State University and National Institute of Statistical Sciences
4:25 PM

Integrating Observational Data with Prior Knowledge: Wikipedia-Informed Priors for Predicting Health Outcomes
Martijn Jeroen Schuemie, Janssen R&D
4:30 PM

Q-Learning for Dynamic Treatment Regimes on CODIACS Vanguard Randomized Controlled Trial
Eun Jeong Oh, Columbia; Min Qian, Columbia University; Ying Kuen Ken Cheung, Columbia University
4:35 PM

Adaptive Design in the National Immunization Survey-Teen Provider Record Check Phase
Xian Tao, NORC at the University of Chicago; Megha Revanam, NORC at the University of Chicago; Benjamin Skalland, NORC at the University of Chicago; Kirk Wolter, NORC at the University of Chicago; David Yankey, Centers for Disease Control and Prevention; Zhen Zhao, CDC; Kennon Copeland, NORC at the University of Chicago
4:35 PM

Two-Stage Enrichment Clinical Trial Design with Adjustment for Misclassification in Predictive Biomarkers
Yong Lin, Rutgers, The State University of New Jersey; Weichung Joe Shih, Rutgers University; Shou-En Lu, Rutgers University
4:35 PM

Bayesian Hierarchical Models and Influenza Modeling
Nehemias Ulloa, Iowa State University; Jarad Niemi, Iowa State University
4:35 PM

Predictive and Interpretable Bayesian Machine Learning Models for Understanding Microbiome Dynamics
Georg Kurt Gerber, Harvard Medical School / Brigham and Women's Hospital
4:45 PM

Real World Evidence Demonstration Projects and Policy Development at FDA
Diqiong Xie, FDA; David Barrett Martin, FDA CDER OMP
4:45 PM

Developing Seamless Tools to Support Metrics for Adaptive Survey Designs
Stephen Cohen, NORC at the University of Chicago; Imad Lakhal, NORC; Zachary H Seeskin, NORC at the University of Chicago; Dean Resnick, NORC
4:50 PM

Forecasting Accuracy of Topic Modeling Techniques for Online Reviews: a Benchmark Study
Yuan Cheng, Cornell University; Shawn Mankad, Cornell University
4:50 PM

Clinical Trial Technologies for Precision Medicine: The Current State of the Art
Steven J Schwager, Medidata Solutions; Ruthanna Davi, Medidata Solutions; Therese Dolan, Medidata Solutions; Jeff Wiser, Medidata Solutions
4:50 PM

Integrated Reduced-Rank Models with Multiple Sets of Predictors
Gen Li, Columbia University; Kun Chen, University of Connecticut
4:55 PM

A Single-Index Model with Multiple-Links
Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University; Todd Ogden, Columbia University
5:05 PM

Precision Medicine in Dynamic-Time Systems
Michael Lawson
5:05 PM

Robust Nonparametric Tests for Imaging Databased on Data Depth
Julia Wrobel, Columbia University; Sara Lopez-Pintado, Columbia University
5:05 PM

A Bayesian Nonparametric Model for Predicting Disease Status Using Longitudinal Profiles
Jeremy Gaskins, University of Louisville
5:05 PM

A Hybrid Approach for Prediction of Event Times in Double-Blind Clinical Trials
Ming Zhu, Sanofi Pasteur; Yunnan Xu, Virginia Tech; Zheng Su, Deerfield Institute
5:05 PM

Risk Prediction Through Temporal Phenotyping and Incorporation of MedDRA Information
Yong Chen, University of Pennsylvania; Rui Duan, University of Pennsylvania
5:20 PM

Combining Disease Surveillance and Animal Movement Data to Predict Infectious Disease Spread
Sahar Zarmehri, The Pennsylvania State University; Ephraim Hanks, The Pennsylvania State University; Lin Lin, The Pennsylvania State University
5:20 PM

An Approach to Predict Final Yield Among Interim Cases
Rui Jiao, Westat; Andrea Piesse, Westat
5:20 PM

Characterization of Critically Ill Patients Using the Profile Counts of Laboratory Tests and Medications
Eduardo PhD Antonio Trujillo Rivera, George Washington University, Children's National Health System; Qing PhD Zeng, George Washington University, Department of Veterans Affairs; James Bost, Children's National Medical Center; Anita MD Patel, Children's National Health System, George Washington University; Hiroki PhD Morizono, Center for Genetic Medicine Research, Children's Research Institute; Dongkyu PhD Kim, Children's Research Institute, Children's National Health System; James MD Chamberlain, Children's National Health System, George Washington University; Murray MBA MD Pollack, Children's National Health System, George Washington University
5:20 PM

Monday, 07/30/2018

Comparison of Variable Selection Approaches in Predictive Modeling
Jing Zhang, Miami University; Thomas Fisher, Miami University; Qi He, Miami University

Improving Health Outcomes on the Last Mile of a Learning Healthcare System - the Importance of Leading with Statistics
Daniel Byrne, Vanderbilt University; Henry Domenico, Vanderbilt; Li Wang, Vanderbilt

Predictive Big Data Analytics in Mental Disorders Using the UK Biobank
Yiwang Zhou, University of Michigan; Ivo Dinov, Statistics Online Computational Resource, University of Michigan; Simeone Marino, Statistics Online Computational Resource, University of Michigan

The Discussion Statistical Methods on Meta-Analysis Are Including Parameters Estimation and Hypothesis Test in 2x2 Table
Jin-Hua Chen

Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
Eric Suess, CSU East Bay

An Application of Clustering Method on EHR Data Phenotyping and Prediction
Shu Wang, University of Pittsburgh; Joyce Chung-Chou H Chang, University of Pittsburgh; Christopher W. Seymour, University of Pittsburgh; Jason Kennedy, University of Pittsburgh; Zhongying Xu, University of Pittsburgh

Predicting Hospital Readmission for Diabetes Patients by Classical and Machine Learning Approaches
Gabrielle LaRosa, University of Pittsburgh; Chathurangi Pathiravsan, Southern Illinois University Carbondale; Rajapaksha Wasala M Anusha Madushani, University of Florida

Machine Learning with Ensemble Feature Selections for Mass Spectrometry Data in Cancer Study
Yulan Liang, University of Maryland Baltimore; Amin Gharipour, Griffith University; Arpad Kelemen, University of Maryland Baltimore; Adam Kelemen, University of Maryland College Park; Hui Zhang, Johns Hopkins Medical Institutions

Enhanced Prediction of March Mania Using Conference and Historical Information
Guanhong Miao; Samuel Wu, University of Florida

Widespread (Unintentional) Corruption of Cross Validation Techniques for Prediction Models on Imputed Data Sets
Milo Page, NC State University/JMP; Alyson Wilson, North Carolina State University; Chris Gotwalt, JMP

Classification Accuracy of Unsupervised Learning Methods with Discrete and Mixture Distributed Indicators: a Monte Carlo Simulation Study
Chi Chang

Spatial and Temporal Trends in Weather Forecasting and Improving Predictions with ARIMA Modeling
Manasi Sheth, California State University; Mahalaxmi Gundreddy, California State University East Bay; Vivek Shah, Applied Materials, Inc. ; Pritam Barlota, California State University East Bay; Eric Suess, CSU East Bay

Predictors of Hospitalization During a Medicare Skilled Nursing Facility Stay
Fei Han, The Hilltop Institute; Ian Stockwell, The Hilltop Institute

Applying functional data analysis and clustering methods on weather forecast data in the U.S.
Yifan Wu, Simon Fraser University; Ying (Daisy) Yu, Simon Fraser University; Chuyuan (Cherlane) Lin, Simon Fraser University

Balancing Scores Weighing Methods and Sensitivity Analysis to Unfold Health Disparity
Chen-Pin Wang, University of Texas Health San Antonio

Comparisons of Modeling Methods on Longitudinal and Survival Data: Identifying Use of Repeat Biomarker Measurements to Predict Time-To-Event Outcome in Cancer Research
Meng Ru, Icahn School of Medicine at Mount Sinai; Erin Moshier, Icahn School of Medicine at Mount Sinai; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai

Comparison of Methods for Predicting High-Cost Patients Captured Within the Oncology Care Model (OCM): a Simulation Study
Jung-Yi Lin, Icahn School of Medicine at Mount Sinai; Wei Zhang, UALR; Mark Liu, Mount Sinai Health System; Mark Sanderson, Mount Sinai Health System; Luis Isola, Mount Sinai Health System; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai; Liangyuan Hu, Icahn School of Medicine at Mount Sinai

Quantile-Optimal Treatment Regimes with Censored Data
Yu Zhou, University of Minnesota; Lan Wang, University of Minnesota; Rui Song, North Carolina State University

Intervening on the Data to Improve the Performance of Health Plan Payment Methods
Savannah Bergquist, Harvard University; Tim Layton, Harvard Medical School; Tom McGuire, Harvard Medical School; Sherri Rose, Harvard Medical School

Should You Pay Attention to Daily Weather Forecast? An Exploration
Dooti Roy, Boehringer Ingelheim Pharmaceuticals Inc.; Gregory Vaughan, Bentley University; Jianan Hui, Boehringer Ingelheim Pharmaceuticals Inc.; Junxian Geng, Boehringer Ingelheim Pharmaceuticals Inc.

Sampling Studies for Longitudinal Functional Data Analysis
Toni Jassel; Andrada E Ivanescu, Montclair State University

Assessing Prediction Error in Traditional Weather Forecasts vs. a Data-Centric Approach
Robert Garrett, Miami University; Ryan Estep, Miami University; Nichole Rook, Miami University; Benjamin William Schweitzer, Miami University; Thomas Fisher, Miami University

Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech

Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA

Tangent Field and Multi-Fractional Brownian Motion with Applications on Stock Indices
Jinqi Shen, University of Michigan; Tailen Hsing, University of Michigan

A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech

Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University

Leveraging Multiple Study Designs and Statistical Methods to Evaluate Comparative Effectiveness of Asthma Medications
Tebeb Gebretsadik, Vanderbilt University Medical Center; Pingsheng Wu, Vanderbilt University; Rees L Lee, U. S. Navy; Amber M Evans, Health ResearchTX LLC; Tan Ding, Vanderbilt University Medical Center; Nicholas M Sicignano, Health Research Tx ; Ann Wu, Harvard Medical School; Carlos Iribarren, Kaiser Permanente Division of Research; Butler Melissa, Kaiser Permanente; Chang Yu, Vanderbilt University Medical Center; William Dupont, Vanderbilt University Medical Center; Christina Fox, Health ResearchTx; Tina V Hartert, Vanderbilt University Medical Center

Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Rachel Harter, RTI International; Kayla Nowak, RTI International; Nicole Mack, RTI International

Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University

Shared-Parameter G-Estimation of an Optimal Adaptive Treatment Strategy for Rheumatoid Arthritis
Erica E.M. Moodie, McGill University; Michael Wallace, University of Waterloo
8:35 AM

Individualized Treatment for Time-To-Event Outcomes with BART
Brent Logan, Medical College of Wisconsin
8:35 AM

Anticipating Brexit Effects; a Multivariate Approach to Detecting Change Points
Charlotte Gaughan, Office for National Statistics
8:35 AM

Tangent Field and Multi-Fractional Brownian Motion with Applications on Stock Indices
Jinqi Shen, University of Michigan; Tailen Hsing, University of Michigan
8:50 AM

Learning Individualized Treatment Rules from Electronic Health Records Data
Yuanjia Wang, Columbia University
9:00 AM

Power Outage Prediction for Adverse Weather Events
Seth Guikema, University of Michigan; Steven Quiring, Ohio State University; Ken Buckstaff, First Quartile Consulting; Mike Beck, Beck Consulting; Alan Bowman, Clarkson University; Brent McRoberts, Texas A&M University; Roshanak Nateghi, Purdue University
9:05 AM

Building a Genomic Signature via Transfer Learning on Both Labelled and Unlabelled High-Dimensional Data: a Case Study in Predicting Prostate Cancer Metastasis
Yang Liu, GenomeDx Biosciences; Hossein Sharifi-Noghabi, Simon Fraser University; Nicholas Erho, GenomeDX Biosciences; Raunak Shrestha, Vancouver Prostate Centre; Mohammed Alshalalfa, GenomeDX Biosciences; Elai Davicioni, GenomeDX Biosciences; Colin Collins, Vancouver Prostate Centre; Martin Ester, Simon Fraser University
9:05 AM

Measurement Variation in Bibliometric Impact Indicators
Stephan Stahlschmidt, German Centre for Higher Education Research and Science Studies (DZHW); Marion Schmidt, German Centre for Higher Education Research and Science Studies (DZHW)
9:05 AM

Propensity-Score-Based Controls: Its Use in Establishing Benefit/Risk of Medicines for Unmet Medical Need
Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly & Co; Ram Tiwari, Center for Devices and Radiologica Health, FDA
9:15 AM

Quantile-Optimal Treatment Regimes with Censored Data
Yu Zhou, University of Minnesota; Lan Wang, University of Minnesota; Rui Song, North Carolina State University
9:15 AM

Improving the Design of Pragmatic Clinical Trials Using Data Collected from Electronic Medical Records
Susan Shortreed, Kaiser Permanente Washington Health Research Institute; Carlyn M Rutter, RAND Corporation; Andrea J. Cook, Kaiser Permanente Washington Health Research Institute; Greg Simon, Kaiser Permenete Washington Health Research Insitute
9:15 AM

Biclustering Algorithm for Biomedical Literature Mining Guided by Prior Information
Jin Hyun Nam; Zhenning Yu, Medical University of South Carolina; Daniel Couch, Medical University of South Carolina; Andrew B Lawson, Medical University of South Carolina ; Dongjun Chung, Medical University of South Carolina
9:20 AM

Modeling Sporadic Event Dynamics with Markov-Modulated Hawkes Processes
Jing Wu, Columbia University; Tian Zheng, Columbia University
9:20 AM

Linking Medicare Current Beneficiary Survey (MCBS) to Augment Post-Market Real World Data from Medicare Claims: a Multiple Imputation Approach
Yun Lu, FDA; Xiyuan Wu, Acumen LLC; Yoganand Chillarige, Acumen LLC; Michael Wernecke, Acumen LLC; Hector Izurieta, FDA; Jeffrey Kelman, CMS; Richard Forshee , FDA
9:20 AM

Predicting Student Performance in Undergraduate Introductory Statistics Courses
Dusty Turner, USMA
9:35 AM

A Multi-Dimensional Integrative Scoring Framework for Predicting Functional Regions in the Human Genome
Xihao Li, Harvard T.H. Chan School of Public Health; Godwin Yung, Takeda Pharmaceutical; Hufeng Zhou, Harvard T.H. Chan School of Public Health; Iuliana Ionita-Laza, Columbia University; Xihong Lin, Harvard University
9:35 AM

Predictors of Hospitalization During a Medicare Skilled Nursing Facility Stay
Fei Han, The Hilltop Institute; Ian Stockwell, The Hilltop Institute
9:40 AM

Do I Need to Check the Weather Forecast, or Is Yesterday's Weather a Reasonable Prediction?
Rachel Harter, RTI International; Kayla Nowak, RTI International; Nicole Mack, RTI International
9:45 AM

Statistical Methodology for Modern Mental Health Research
Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University; Robert Todd Ogden, Columbia University; Andrea Troxel, New York University School of Medicine
9:55 AM

Introducing Forecast Intervals with a Confidence Game
Robin Lock, St. Lawrence University
9:55 AM

Methods for Estimating Points Based Risk Score for Binary Clinical Outcome
Alok Dwivedi, Texas Tech University Health Sciences Center El Paso; Muditha Perera, Texas Tech University Health Sciences Center El Paso; Durgesh Kumar Dwivedi, University of Texas Southwestern Medical Center; Anit Parihar, King George's Medical University; Sada Nand Dwivedi, All India Institute of Medical Sciences; Rakesh Shukla, University of Cincinnati
10:05 AM

Relevance, Validity, and Bias in the Integration of Health Data
Jerald Lawless, University of Waterloo
10:35 AM

Net Best-Ball Team Composition in Golf
Tim Swartz, Simon Fraser University; Yifan Wu, Simon Fraser University; Peter Chow-White, Simon Fraser University
10:35 AM

How Small Data Can Leverage Big Data, and/or Conversely
Bhramar Mukherjee, University of Michigan
10:55 AM

A Propensity Score Stratified Bayesian Power Prior Approach for Incorporating Real-World Evidence in Single Group Medical Device Clinical Studies
Chenguang Wang, John Hopkins University; Ram Tiwari, Center for Devices and Radiologica Health, FDA; Lilly Yue, U.S. Food and Drug Administration; Yunling Xu, FDA/CDRH
10:55 AM

Methods of Monitoring Outcomes of Medical Providers
John Kalbfleisch, University of Michigan; Zhi He, University of Michigan; Lu Xia, University of Michigan; Yanming Li, University of Michigan
10:55 AM

A Simulation-Based Prediction and Optimization Framework for Bio-pharmaceutical Supply Chain Dynamic Risk Management
Wei Xie, Rensselaer Polytechnic Institute; Pu Zhang, Rensselaer Polytechnic Institute; Ilya O. Ryzhov, University of Maryland
10:55 AM

Community Profiling with Composite Indicators
Vicki Lancaster, Biocomplexity Institute of Virginia Tech- Social Decision & Analytics Lab
10:55 AM

Improved Doubly Robust Estimation in Learning Individualized Treatment Rules
Yinghao Pan, Fred Hutchinson Cancer Research Center; Yingqi Zhao, Fred Hutchinson Cancer Research Center
11:05 AM

Topic Models for Medical Prescription Fraud and Abuse Detection
Tahir Ekin, Texas State University; Babak Zafari, Babson College
11:05 AM

Balancing Scores Weighing Methods and Sensitivity Analysis to Unfold Health Disparity
Chen-Pin Wang, University of Texas Health San Antonio
11:20 AM

Capturing Enhanced Information with Higher-Order Tensorian Statistics and Predicting Mortality from Accelerometry-Measured Physical Activity
Junrui Di, Johns Hopkins Bloomberg School of Public Health; Vadim Zipunnikov, Johns Hopkins Bloomberg School of Public Health
11:20 AM

Sampling Studies for Longitudinal Functional Data Analysis
Toni Jassel; Andrada E Ivanescu, Montclair State University
11:20 AM

Robust Bayesian Variable Selection for Modeling Mean Medical Costs
Lei Liu, Washington University in St Louis; Grace Yoon, Texas A&M University; Wenxin Jiang, Northwestern University; Tina Shih, MD Anderson Cancer Center
11:25 AM

Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade
Joseph W Hogan, Brown University School of Public Health
11:35 AM

Income Inequality Grew Faster from 1970-2016 Than Reflected by the Standard Measures
Joseph Gastwirth, George Washington University
11:35 AM

Developing Biomarker Combinations in Multicenter Studies via Direct Maximization and Penalization
Allison Meisner, Johns Hopkins University; Kathleen F. Kerr, University of Washington; Chirag Parikh, Yale University
11:35 AM

Statistics of Counting Molecules for Precision Medicine
Svilen Tzonev
11:35 AM

Improved Shrinkage Prediction Under a Spiked Covariance Structure
Trambak Banerjee; Gourab Mukherjee, University of Southern California; Debashis Paul, UC Davis
11:35 AM

Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:40 AM

Identifying Disease Progression Dynamics Using Electronic Medical Records
Xiaochen Wang; Hongyu Zhao, Yale
11:50 AM

Combining Breast Cancer Risk Prediction Models
Zoe Guan; Danielle Braun, Harvard T. H. Chan School of Public Health; Lorenzo Trippa, Harvard; Hajime Uno, Dana Farber Cancer Institute; Kevin S. Hughes, Massachusetts General Hospital; Giovanni Parmigiani , Harvard T.H. Chan School of Public Health / Dana-Farber Cancer Institute
11:50 AM

Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM

A Combinatoric Search for Clustered Levels in Categorical Predictors via Bayesian Model Selection
Thomas Metzger, Virginia Tech; Christopher Franck, Virginia Tech
12:05 PM

Predicting Disease Incidence with Natural Cubic Splines
Noah Kochanski, Hope College; Yew-Meng Koh, Hope College
2:05 PM

Comparison of Interval Estimation in Machine Learning
Dai Feng, Merck; Andy Liaw, Merck & Co., Inc.; Vladimir Svetnik, Merck
2:05 PM

Deep Neural Network Model for Predicting Gene Activity Using Three-Dimensional Structures of Chemical Compounds
Pingzhao Hu, University of Manitoba; Md. Mohaiminul Islam, University of Manitoba; Kevin Jeffers, University of Manitoba; Andrew M Hogan , University of Manitoba; Rebecca Davis, University of Manitoba; Silvia Cardona, University of Manitoba
2:05 PM

Subgroup Mixable Exact Simultaneous Confidence Intervals for Logical Selection of a CDx Cut-Point
Jason Hsu, Ohio State University
2:05 PM

A Meta-Analysis to Indirectly Compare Experimental Drugs Across Multiple Indications Using a Bayesian Hierarchical Model
Ji Lin, Eli Lilly; Jingyi Liu, Eli Lilly; Zachary Thomas, Eli Lilly; Yumin Zhao, Eli Lilly & Co.; Mythili Koneru, Eli Lilly
2:05 PM

Extension of Bayesian Logistic Regression Model (BLRM) for Dose Timing Selection in Oncology Phase I Combination Studies
Yiyun Zhang, Novartis; Nigel Yateman, Novartis; Fang Xiang, Novartis; Lan Yi, Novartis; Kapildeb Sen, Novartis; Beat Neuenschwander, Novartis
2:05 PM

A Location-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian S Di Pace, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
2:10 PM

A Generalized Design for a Confirmatory Basket Trial
Robert Beckman, Georgetown University; Xiaoyun (Nicole) Li, Merck
2:25 PM

Statistical Considerations for Using Multiple Databases to Build a Biomarker Probability Tool
Feng Gao; Shijia Bian, Biogen; Wenting Wang, Biogen; Nancy Maserejian, Biogen; Judith Jaeger, Albert Einstein College of Medicine; Robert Robert Engle , Biogen; Timothy Swan, Biogen; James McIninch, Alnylam Pharmaceuticals; Feng Gao, Biogen
2:25 PM

Degrees of Freedom in Multiple Imputation: The Original vs. The Adjusted in 2015 National Hospital Ambulatory Medical Care Survey
Qiyuan Pan, CDC/NCHS/DHCS; Rong Wei, National Center for Health Statistics
2:30 PM

Prediction on Network-Linked Data by Matrix Variate Models
Xuefei Zhang, University of Michigan; Ji Zhu, University of Michigan
2:35 PM

Are Tumor Size Changes Predictive of Survival for Immunotherapy Trials?
Meihua Wang, Merck & Co.; Thomas Jemielita, Merck & Co.; Cong Chen, Merck & Co.; Chen Hu, Johns Hopkins University
2:35 PM

Variable Selection for Highly Correlated Predictors
Fei Xue, University of Illinois at Urbana-Champaign; Annie Qu, University of Illinois at Urbana-Champaign
2:45 PM

Bayesian Regression with Undirected Network Predictors with an Application to Brain Connectome Data
Sharmistha Guha, UC Santa Cruz; Abel Rodriguez, UC Santa Cruz
2:45 PM

GBM AGILE: a Phase II/III Platform Design with Signature Identification
Todd Graves, Berry Consultants LLC; Donald A Berry, Berry Consultants and M.D. Anderson Cancer Center; Jason Connor, ConfluenceStat LLC
2:45 PM

Interval-Valued Kriging and Application in Climate Related Predictions
Brennan Bean, Utah State University; Yan Sun, Utah State University
2:50 PM

Does Phase 2 PFS or ORR Predict Phase 3 OS?
Russell Reeve, Quintiles
2:50 PM

A Robust Multiple Imputation Approach to Causal Inference with Confounding by Indication
Roderick J Little, University of Michigan; Tingting Zhou, University of Michigan; Michael Elliott, University of Michigan
2:55 PM

Nonresponse Bias Analysis for the Medicare Current Beneficiary Survey
Kirk Wolter, NORC at the University of Chicago; Ying Li, NORC at the University of Chicago; Whitney Murphy, NORC at the University of Chicago
3:00 PM

A Bayesian Nonparametric Method for Zero-Inflated Data with Applications to Medical Costs
Arman Oganisian, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Jason Roy, University of Pennsylvania
3:05 PM

A Parametric Multiple Comparison Procedure for Clinical Trials with Planned Evaluation of Treatment Effect in Pre-Defined Subgroups and Interim Analyzes
Liang Fang, MyoKardia; Ron Yu, Gilead Sciences, Inc.; Zhishen Ye, Gilead Sciences; Neby Bekele, Gilead Sciences; Ming Lin, Gilead Sciences
3:05 PM

Using Predictive Modeling in Survey Methodology to Identify Panel Nonresponse
Bernd Weiss, GESIS - Leibniz-Institute for the Social Sciences; Jan-Philipp Kolb, GESIS - Leibniz-Institute for the Social Sciences; Christoph Kern, University of Mannheim
3:05 PM

'sTATISTICAL JUSTIFICATION' of SUBJECT NUMBERS in PRECLINICAL BIOMEDICAL RESEARCH: MORE THAN HYPOTHESIS TESTING
Penny Reynolds
3:05 PM

Statistical Considerations for Bridging Studies in Precision Medicine Programs with Drug-Device Co-Development
Shunguang Wang, Novartis Analytics; Meijuan Li, FDA; Xiaohong Li, Novartis Analytics; Jincao Wu, CDRH/US. Food and Drug Adminstration; Robinson Douglas, Novartis Pharmaceuticals
3:15 PM

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel
3:15 PM

Joint Modeling of Length-Biased and Competing Risks Survival Times with View Toward Individualized Prediction: An Application to Spontaneous Labor
Rajeshwari Sundaram, Eunice Kennedy SHriver National Institute of Child Health and Human Development; Ling Ma, Clemson University
3:20 PM

Prediction Using Machine Learning Algorithms by Small Sample Size Data
Yan Wang, Field School of Public Health, UCLA; Honghu Liu, UCLA; Jian L Zhang, Kaiser Permanente
3:20 PM

CiTools: Quantifying Uncertainty for Statistical Models in R
Matthew Avery
3:25 PM

Predictive Probability on Interim Analysis of Time-To-Event Endpoints with Delayed Treatment Effects
Matt Rosales, Astellas; Kentaro Takeda, Astellas Pharma Global Development, Inc.
3:35 PM

Tuesday, 07/31/2018

The Role of Mobile Health in Precision Medicine
Susan Murphy, Harvard University

Assessing Reproducibility When Making Mid-Course Changes in Clinical Trials Based on External Data
Yingqi Shi, Johnson & Johnson-Janssen R&D; Grace Gao, Janssen R&D; Keith Karcher, Janssen R&D

Using the Posterior Predictive Distribution as a Diagnostic Tool for Mixed Models
Matthew Kramer, StatGrp/ARS/USDA

Perspectives from a Recent Graduate on Consulting in an Academic Medical Setting
Iram Usman, University of Alberta; Dr. Rhonda J. Rosychuk, University of Alberta

Applications of Neural Net Models to Identify Placebo Responders in Clinical Trials
Mikhail Dmitrienko, Blue Valley North High School

Predicting Invasive Species Richness with Boosted Regression Trees
Namaluba Malawo, Purdue University; Gabriela Nunez, Purdue University; Songlin Fei, Purdue University

Univariate, Multivariate and Model-Based Prediction on Truncated Continuous Data with Shiny/R
Qianqiu Li, Janssen Research & Development

Iterated Multi-Source Exchangeability Models
Roland Brown, University of Minnesota; Julian Wolfson, University of Minnesota

Response to Regulatory Issues in an Adaptive Medical Device Study
Jill Stankowski, ICON Plc

Development and Comparison of Predictive Models for Woody Breast in Commercial Broilers
Andy Mauromoustakos, Univ. of Arkansas; JUAN P CALDAS-CUEVA, University of Arkansas; CASEY OWENS-HANNING, University of Arkansas

Symmetric and Predictive Contexts for Statistical Agreement
Tim Hesterberg, Google; Shyue-Ming Loh, Google Inc.

Analysis Framework in Integrating Data of Different Modalities with Application in Identifying Important Predictors/Subgroups in Non-Alcoholic Steatohepatitis
Tuan Nguyen, Gilead Sciences; Guang Chen, Gilead Sciences; Adarsh Joshi, Gilead Sciences, Inc.; Lulu Wang, Gilead Sciences; Yafeng Zhang, Gilead Sciences; Yuanyuan Xiao, Gilead Sciences; Catherine Jia, Gilead Sciences; Ren Xu, Gilead Sciences; Stephen Djedjos, Gilead Sciences; Rob Myers, Gilead Sciences

A 10-DNA Repair Gene Signature Predicts Benefits from Adjuvant Chemotherapy (ACT) in Patients with Non-Small Cell Lung Cancer (NSCLC)
Xiaokui Mo, Ohio State University-College of Medicine; Jianying Zhang, Ohio State University; Meng Xu Welliver, Ohio State University; Soledad Fernandez, The Ohio State University

A Novel Approach of Using Prior Elicitation Information to Direct Design of a Phase 2 POC Study
Geng Chen, GlaxoSmithKline; Jonathan Haddad, Glaxosmithkline

Bayesian Methods in Real-World Evidence for Medicinal Product Development: Can Prior Distributions Provide a Platform for Creating Real-World Evidence?
John Loewy, Dataforethought

Real Experiences with Experimental Design: Composite Pressure Vessel Life Predict
Anne Driscoll

Predicting Mood Using Multivariate Mobile Sensor Data Streams for Medical Interns
Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan; Edward Ionides, University of Michigan

Practical Determining the Late Effect Parameter in Fleming-Harrington Test When a Delayed Treatment Effect Is Predicted
Yuichiro Kaneko, Astellas Pharma; Satoshi Morita, Kyoto University

Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Danni Yu, Eli Lilly and Company

A Two-Stage Method to Analyze Multivariate Cluster Biomarkers in Prediction on a Single Binary Outcome
Xiaoying Yu, University of Texas Medical Branch at Galveston; Wenyaw Chan, University of Texas Health Science Center at Houston; Gracie Vargas, University of Texas Medical Branch at Galveston; Rahul Pal, University of Texas Medical Branch at Galveston

Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online

Subgroup Mixable Exact Simultaneous Confidence Intervals for Logical Selection of a CDx Cut-Point
Jason Hsu, Ohio State University

Different Linkage Methods, Same Results? Linking National Center for Health Statistics Survey Data to Centers for Medicare and Medicaid Administrative Records
Cordell Golden, National Center for Health Statistics (NCHS); Adam Fedorowicz, National Center for Health Statistics (NCHS); Lisa B Mirel, National Center for Health Statistics (NCHS)

A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation
David A James, Novartis

A Simultaneous PK/PD Model for Muscle Relaxant Using Muscle Twitch Counts
Elizabeth Sigworth; Matthew S Shotwell, Vanderbilt University

A Testing Paradigm for Earl Biomedical Research with Many Correlated Tests
Robert Montgomery; Jonathan D Mahnken, University of Kansas Medical Center

Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Mathieu Pigeon, Université du Québec à Montréal; Francis Duval, Université du Québec à Montréal

Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework
Linda Andes, Centers for Disease Control & Prevention

Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model
Xiaodan Lyu, Iowa State Univ; Emily Berg, Iowa State University; Heike Hofmann, Iowa State University

A Comparative Longitudinal Study of the Distributions of Observed Versus Estimated Untreated Natural Blood Pressures
Saryet Kucukemiroglu

Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley

Real-Time Study Milestone Projection in Clinical Trials with Time-To-Event Endpoints
Yanping Liu, Merck & Co.; Gang Jia, Merck & Co.

Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK

Predicting Overflow: A Novel Application of Latrine Sensors and Machine Learning for Optimizing Sanitation Services in Informal Settlements
Phillip Turman-Bryant, Portland State University; Evan Thomas, Portland State University

Tree-Based Doubly-Robust Nonparametric Multiple Imputation
Darryl Creel

Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale

Calculating a Generated Effect Modifier (GEM) for Treatment Selection Based on Imaging Data
Todd Ogden, Columbia University; Hyung Park, Columbia University; Eva Petkova, NYU School of Medicine; Thaddeus Tarpey, Wright State University
8:35 AM

Committee on Law and Justice Statistics
Joel Hunt, National Institute of Justice; Patryk Miziula, deepsense.ai; George Mohler, IUPUI; Tuanjie Tong, Intuidex, Inc.; Dylan Fitzpatrick, Carnegie Mellon University
8:35 AM

Personalization Through Uplift Modeling: Techniques and Business Applications
Victor Lo, Fidelity Investments
8:35 AM

Genetic Association Testing with Imperfect Phenotypes Derived from Electronic Health Records
Jennifer Sinnott, Ohio State University
8:35 AM

Using 100% Medicare Claims Data for Diabetes Surveillance: a Novel Framework
Linda Andes, Centers for Disease Control & Prevention
8:35 AM

Estimating Prediction Error for Complex Samples
Andrew James Holbrook, UC Irvine; Daniel L. Gillen, University of California, Irvine; Thomas Lumley, University of Auckland
8:35 AM

A Comparative Longitudinal Study of the Distributions of Observed Versus Estimated Untreated Natural Blood Pressures
Saryet Kucukemiroglu
8:45 AM

A Simultaneous PK/PD Model for Muscle Relaxant Using Muscle Twitch Counts
Elizabeth Sigworth; Matthew S Shotwell, Vanderbilt University
8:50 AM

Predicting the Count of Tropical Storms with Bayesian Model Averaging
Joyee Ghosh, University of Iowa
8:50 AM

Improving the Value of Public Data with Recount2 and Phenotype Prediction
Shannon Ellis, Johns Hopkins University, Bloomberg School of Public Health
8:55 AM

Explore Modified Organ Dysfunction Score System to Improve the Prediction of Survival
Grace Zhang, GSK
9:05 AM

Discovering Biomarkers Jointly Modeled with Multiple Efficacy Variables in Early Phase Clinical Trials
Danni Yu, Eli Lilly and Company
9:10 AM

Coupling Forest In-Situ and Spaced-Based Lidar Samples to Improve National-Scale Forest Inventory: a Joint Spatial Modeling Framework for Forest and Lidar Variable Prediction Lever
Chad Babcock, University of Washington; Andrew Oliver Finley, Michigan State University; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center
9:15 AM

Beyond the Bagg: Consistent Importance Intervals for Random Forest Predictors
Lucas Mentch, University of Pittsburgh; Giles Hooker, Cornell University
9:35 AM

Estimation of Latent Interaction with Ordinal Indicators Using Frequentist Method
Fan Wallentin, Uppsala University
9:35 AM

Real-Time Study Milestone Projection in Clinical Trials with Time-To-Event Endpoints
Yanping Liu, Merck & Co.; Gang Jia, Merck & Co.
9:50 AM

Recursive Non-Parametric Predictive for a Discrete Regression Model
Lorenzo Cappello; Stephen Walker
9:55 AM

A Testing Paradigm for Earl Biomedical Research with Many Correlated Tests
Robert Montgomery; Jonathan D Mahnken, University of Kansas Medical Center
10:00 AM

Nonparametric Change Point Detection of Periodic Data
Lingzhe Guo, The George Washington University; Reza Modarres, The George Washington University
10:35 AM

Semiparametric Single-Index Models for Optimal Treatment Regimes with Censored Outcomes
Jin Wang, University of North Carolina at Chapel Hill; Danyu Lin, University of North Carolina; Donglin Zeng, UNC Chapel Hill
10:35 AM

Estimating Causal Effects of Organ Transplantation Treatment Regimes
David Michael Vock, University of Minnesota; Jeffrey Boatman, Gustavus Adolphus College
10:35 AM

Claim-Level Models Using Statistical Learning Techniques and Risk Analysis
Mathieu Pigeon, Université du Québec à Montréal; Francis Duval, Université du Québec à Montréal
10:35 AM

Targeted Maximum Likelihood Estimation of Causal Effects Based on Observing a Single Time Series
Ivana Malenica; Mark van der Laan, UC Berkeley
10:35 AM

Bayesian Monte Carlo Method for Estimating Small Area Complex Parameters Under Unit-Level Models with Skew-Normal Errors
Mamadou Diallo; Balgobin Nandram, Worcester Polytechnic Institute; J. N. K. Rao, Carleton University
10:35 AM

Semiparametric Estimation of the Mean and Coefficient of Variation of the Interevent Distribution of a Renewal Process from Cross-Sectional Count Data
John D. Rice, University of Colorado, Denver; Robert L. Strawderman, University of Rochester; Brent A. Johnson, University of Rochester
10:50 AM

Outlier Detection in Dynamic Functional Models
Andrada E Ivanescu, Montclair State University; William Checkley, Johns Hopkins University; Ciprian Crainiceanu, Johns Hopkins University
10:55 AM

Empirical Bayes Estimation of Small Area Means Under Unmatched Two-Fold Subarea Models
Song Cai, Carleton University; Golshid Chatrchi, Carlelton University; Shonosuke Sugasawa, The University of Tokyo; J.N.K. Rao, Carleton Univeristy
10:55 AM

The Impact of Different Sources of Heterogeneity on Loss of Accuracy from Genomic Prediction Models
Levi Waldron, CUNY School of Public Health
10:55 AM

Highlights from Bayesian Analysis
Christopher C Drovandi, Queensland University of Technology; Kerrie Mengersen, Queensland University of Technology; Michael Evans, University of Toronto; David J Nott, National University of Singapore
11:00 AM

Improving a Predictive Model of Student Progress in an Online Course by Adding Learned Features from Unstructured Text Data
Huafeng Zhang, The Refugee Center Online
11:05 AM

Prediction for Distributional Outcomes in the Management of High-Performance Computing Input/Output (I/O) Variability
Li Xu, Virginia Tech; Thomas Lux, Virginia Tech; Tyler Chang, Virginia Tech; Bo Li, Virginia Tech; Yili Hong, Virginia Tech; Layne Watson, Virginia Tech; Kirk Cameron, Virginia Tech; Jon Bernard, Virginia Tech
11:05 AM

Efficiency Comparisons of Selective Editing Methods
Chin-Fang Weng, U.S. Census Bureau; Joanna Fane Lineback, U.S. Census Bureau
11:05 AM

Robust estimation in the presence of deviations from linearity in small domain models
Julie Gershunskaya, U.S. Bureau of Labor Statistics; Terrance Savitsky, Bureau of Labor Statistics
11:10 AM

Estimation and Optimization of Composite Outcomes
Daniel J Luckett, University of North Carolina at Chapel Hill; Eric Laber, North Carlina State University; Michael Kosorok, University of North Carolina at Chapel Hill
11:15 AM

Bayesian Personalized Multi-Criteria Benefit-Risk Assessment of Medical Products
Kan Li, University of Texas Health Science Center; Sammy Yuan, Merck; Sheng Luo, Duke University Medical Center
11:15 AM

Supervised Principal Component Regression for Functional Data with High-Dimensional Predictors
Xinyi Zhang, University of California, Berkeley; Dehan Kong, University of Toronto; Qiang Sun, University of Toronto
11:15 AM

The Impact of Misspecification of Linear Modeling on the Prediction in SMART PK/PD Clinical Trials
Tian Zhao, Merck; Li Fan, Merck
11:20 AM

Spatial Statistics Vs Machine Learning: Evaluating Air Pollution Exposure Prediction Models
Gregory Watson, UCLA; Donatello Telesca, UCLA
11:20 AM

DREAM Challenges: a Community Framework for Benchmarking Reproducible Biomedical Models
Justin Guinney, Sage Bionetworks
11:35 AM

Practical Determining the Late Effect Parameter in Fleming-Harrington Test When a Delayed Treatment Effect Is Predicted
Yuichiro Kaneko, Astellas Pharma; Satoshi Morita, Kyoto University
11:35 AM

Individualized Treatment Effects with Censored Data via Fully Nonparametric Bayesian Accelerated Failure Time Models
Nicholas Henderson, Johns Hopkins University
11:35 AM

Bayesian Analysis of Multinomial Counts from Small Areas and Sub-Areas
Balgobin Nandram, Worcester Polytechnic Institute
11:35 AM

A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation
David A James, Novartis
11:35 AM

Inferring Networks from Personal, Dense, Dynamic Data Clouds of Biological and Quantified-Self Data
Elisa Sheng, Arivale
11:40 AM

Biomarker-Defined Subgroup Selection Adaptive Design for Phase III Confirmatory Trial
Rui Tang, Shire; Xiaoye Ma, University of Minnesota; Hui Yang, Amgen Inc.
11:50 AM

Nonparametric Estimation of Risk Tracking Indices for Longitudinal Studies
Xin Tian, National Heart, Lung and Blood Institute; Colin O. Wu, National Heart, Lung and Blood Institute, NIH
11:50 AM

Collaborative Cognition for Commodity Price Prediction
Ritwik Chaudhuri, IBM Research, India; Ramasuri Narayanam, IBM Research, India; Manish Kataria, IBM Research, India; Gyana Parija, IBM Research, India
11:50 AM

Three Intervals Used in Setting Quality Specification Limits
Yi Tsong, CDER, FDA; Xin Hu, George Washington University
12:05 PM

If it Is in the Electronic Health Record, Then it Must Be True
Jareen Meinzen-Derr, Cincinnati Children's Hospital Med Center
2:05 PM

A Bayesian Framework for Calculating Predictive Probability of Success in Biomarker Development
Cong Li; Ling Wang, Takeda; Ray Liu, Takeda Pharmaceuticals Inc
2:05 PM

Predicting Panel Drop-Outs with Machine Learning
Christoph Kern, University of Mannheim
2:20 PM

Predicting the PITCHf/X Pitch Classifier
Christian Stratton, Montana State University; Andrew Hoegh, Montana State University; Jennifer L Green, Montana State University
2:20 PM

Tumor Heterogeneity in Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma
Ruibin Xi, Peking University
2:30 PM

Decision-Adjusted Predictive Modeling Approach for Driver Risk Assessment
Huiying Mao, Virginia Tech / VTTI; Feng Guo, Virginia Tech; Xinwei Deng, Virginia Tech
2:35 PM

Neuroconductor: An R Platform for Medical Imaging Analysis"
John Muschelli, Johns Hopkins University
2:45 PM

Dynamic Prediction for Patients with High-Grade Extremity Soft Tissue Sarcoma
Anja Rueten-Budde, Leiden University; Marta Fiocco, Leiden University
2:50 PM

Probabilistic Prediction of the State of Discarded Underwater Marine Munitions
Jonathan Gillmore Ligo, Johns Hopkins Applied Physics Laboratory; Sarah Rennie, Johns Hopkins Applied Physics Laboratory; Alan Brandt, Johns Hopkins Applied Physics Laboratory
2:50 PM

Predicting High-Cost Members in the HCCI Database
Brian Hartman, Brigham Young University; Rebecca Owen, HCA Solutions; Zoe Gibbs, Brigham Young University
3:05 PM

Predicting Cancer Outcomes from Genomics Data
Peter Campbell, Wellcome Trust Sanger Institute
3:20 PM

Prescription Medications and Traffic Fatalities in Older Drivers: The Influence of Vehicle Characteristics, Driving Conditions and Roadway Geometry
Michael Singleton, University of Kentucky; Larry Cook, University of Utah
3:20 PM

Predicting Suicide Risk: Statistical Methods for Using EHR Data to Inform Mental Health Care
Rebecca Coley, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute; Rod Walker, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute
3:25 PM

Compressing Scientific Data: Reducing Storage While Preserving Information
Dorit Hammerling, National Center for Atmospheric Research; Joseph Guinness, NC State University; Allison Baker, National Center for Atmospheric Research
3:25 PM

Data Collection Issues in Modeling and Estimation of Urban Transportation Networks
Isabelle Kemajou-Brown, Morgan State University; Jasmine Alston, Morgan State University; Paul Bikoi, Morgan State University; Eugene Evans, Morgan State University; Xilei Zhao, University of Michigan; James C. Spall, Applied Physics Laboratory
3:35 PM

Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping
Daniel Taylor Rodriguez, Portland State University; Andrew Oliver Finley, Michigan State University; Abhi Datta, Johns Hopkins Bloomberg School of Public Health; Chad Babcock, University of Washington; Hans-Erik Andersen, USDA Forest Service; Bruce Douglas Cook, NASA Goddard Space Flight Center; Douglas C Morton, NASA Goddard Space Flight Center; Sudipto Banerjee, UCLA School of Public Health
3:35 PM

Wednesday, 08/01/2018

Small Data, N-of-1 Trials, and Personalized Medicine
Naihua Duan, Columbia University; Richard L. Kravitz, University of California Davis

Secondary Data Analysis to Predict Therapeutic Outcome of Colorectal Cancer Patients
Hannah Monique Bredikhin, Purdue University; Jun Xie, Purdue University

Active Reference vs. Active Comparator: What Should We Include to Design Late-Phase Studies?
Suchitrita Rathmann, Eli Lilly & Co

A Latent Class Analysis to Identify Subgroups of Heart Failure Under Missingness And/Or Uncertainty in the Indicator Variables
Wendimagegn Alemayehu, University of Alberta; Cynthia M Westerhout, University of Alberta; Jason R Dyck, University of Alberta; Todd Anderson, University of Calgary; Justin A Ezekowitz, University of Alberta

Distance-Weighted Predictor Models to Estimate the Spatial Scale of Built Environment Health Effects
Adam Peterson, University of Michigan; Brisa N. Sanchez, University of Michigan; Emma V Sanchez-Vaznaugh, San Francisco State University

Successful Implementation of Bayesian Adaptive Designs in Medical Device Clinical Studies
Zengri Wang

Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech

A Stagewise Prognostic Control Predictive Approach (SPCPA) for Subgroup Identification and Its Application in a Phase II Study
Wanying Li, Gilead Sciences; Wangshu Zhang, Gilead Sciences; Lovely Goyal, Gilead Sciences; Yuanyuan Xiao, Gilead Sciences

Bayesian Adaptive Design of Phase 2 Dose-Finding Study
Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.

How to Implement Empirical Results of Complex Longitudinal Analysis Models into Microsimulation and Test the Sensitivity of Such Implementations
Dawid Bekalarczyk; Petra Stein, University of Duisburg-Essen

A Data-Driven Approach for Assessing the Risk of Dengue Transmission Using High-Resolution Weather Data
Chathurika Hettiarachchige, IBM Research - Australia; Roslyn Hickson, IBM Research - Australia; Stefan von Cavallar, IBM Research - Australia; Timothy Lynar, IBM Research - Australia; Manoj Gambhir, IBM Research - Australia

Small Data and N-of-1 Trials: Developing Personalized Biostatistics for Personalized Medicine and Individualized Health Care Delivery
Christopher Schmid, Brown University; Deborah Estrin , Cornell Tech; Ying Kuen Ken Cheung, Columbia University; Mark Drangsholt, University of Washington; Richard L. Kravitz, University of California Davis; Xiao-Li Meng, Harvard University
8:35 AM

Multiplicity-Controlled Benefiting Subgroup Identification via Credible Subgroups
Patrick Schnell, Ohio State University; Qi Tang, Sanofi; Peter Müller, University of Texas Austin; Brad Carlin, University of Minnesota
8:35 AM

Predicting the Timing of the Final Event by Fitting B Splines to Poisson Intensity Rates
Marcus Sobel, Temple Universisity; Ibrahim Turkoz, Janssen Research and Development, LLC
8:35 AM

Convergence Complexity Analysis of Albert and Chib's Algorithm
Qian Qin, University of Florida; James P. Hobert, University of Florida
8:35 AM

Subgroup Selection in Adaptive Signature Designs of Confirmatory Clinical Trials
Zhiwei Zhang, University of California at Riverside
8:35 AM

Prediction of Warranty Returns Based on Modeling Seasonal Recurrent Event Data
Qianqian Shan; William Meeker, Iowa State University
8:35 AM

Dirichlet Process Clustering for the Prediction of Housing Prices
Matt Slifko, Virginia Tech; Scotland Leman, Virginia Tech; David Bieri, Virginia Tech
8:50 AM

MCMC for High-Dimensional Bayesian Regression
Dootika Vats
8:55 AM

Mortality Prediction with Multiple Unordered Treatments for Aortic Valve Replacement
Samrachana Adhikari, Harvard Medical School; Sherri Rose, Harvard Medical School; Sharon-Lise Normand, Harvard University; Jordan Bloom, Harvard Medical School; David Shahian, Harvard Medical School; Jake Spertus, Harvard Medical School
8:55 AM

A Case Study of Adaptive Seamless Design with Subpopulation Selection in Oncology
Rui Qin, Janssen Pharmaceutical R&D
8:55 AM

A Latent Bayesian Classification Model to Predict Kidney Obstruction Based on Renography and Expert Ratings
Changgee Chang, University of Pennsylvania; Jeong Hoon Jang, Emory University; Amita Manatunga, Emory University; Qi Long, University of Pennsylvania
9:05 AM

Improve Risk Prediction Model Estimation with Longitudinal Surrogate Markers
Yu Zheng, Harvard T.H. Chan School of Public Health; Tianxi Cai, Harvard T.H. Chan School of Public Health; Lu Tian, Stanford University School of Medicine
9:15 AM

Distribution-Free Inference Methods for Threshold Regression
Mei-Ling Ting Lee, University of Maryland; George A Whitmore, McGill University
9:15 AM

REMAP-CAP: a Precision Medicine Embedded Platform Trial for Community Acquired Pneumonia
Scott Berry, Berry Consultants
9:15 AM

Estimating Personal Cure in Colorectal Cancer Patients Using the SEER Data
Margaret Stedman, Stanford Univ
9:20 AM

Deep Learning in Medical Imaging: Evaluation and Study Design
Robyn Ball, Stanford University; David Larson, Stanford University; Pranav Rajpurkar, Stanford University; Matthew Chen, Nines AI; Jeremy Irvin, Stanford University; Jaden Yang, Stanford University; Matthew P Lungren, Stanford University
9:20 AM

Selection of Proposal Distributions for Multiple Importance Sampling
Vivekananda Roy, Iowa State University; Evangelos Evangelou, University of Bath
9:35 AM

Constructing Stabilized Dynamic Treatment Regimes
Guanhua Chen, University of Wisconsin-Madison; Ruoqing Zhu, University of Illinois Urbana-Champaign; Yingqi Zhao, Fred Hutchinson Cancer Research Center; Yingye Zheng, Fred Hutchinson Cancer Research Center
9:35 AM

Measuring Latent Quality of Medical Groups Using IRT Models Accounting for Missing Data: Can We Get Reliable Estimates of Quality After All?
Amelia M Haviland, Carnegie Mellon University - Heinz College; Denis Agniel, RAND Corporation; Cheryl Damberg, RAND Corporation; Paul Shekelle, RAND Corporation
9:35 AM

Bayesian Adaptive Design of Phase 2 Dose-Finding Study
Tanya Granston, CTI BioPharma Corp.; Huafeng Zhou, CTI BioPharma Corp.; Lixia Wang, CTI BioPharma Corp.
9:45 AM

Iterative Random Forests (IRF) to Discover Predictive and Stable High-Order Interactions
Bin Yu, UC Berkeley; Sumanta Basu, Cornell University; Karl Kumbier, UC Berkeley; Ben Brown, LBNL and University of Birmingham
9:50 AM

Simultaneous Prediction and Community Detection on Networks with Application to Neuroimaging
Jesús Arroyo , University of Michigan; Elizaveta Levina, University of Michigan
9:50 AM

Genome-Wide Gaussian Process Regression for Survival Time Prediction
Aaron J. Molstad, Fred Hutchinson Cancer Research Center; Wei Sun, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
9:50 AM

Missing Imputation of Cancer Proteome with Iterative Prediction Model
Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Weiping Ma, Icahn School of Medicine at Mount Sinai; Pei Wang, Icahn School of Medicine at Mount Sinai ; Lin Chen, University of Chicago
9:50 AM

Tools and Techniques for Blinded Data Reviews in Ongoing Clinical Trials
Suresh Ankolekar, Cytel Inc.; Hrishikesh Kulkarni, Cytel Inc.
9:55 AM

Composite Endpoints in Clinical Trials with Multiple Correlated Dichotomous Outcomes
Boris Zaslavsky, FDA/CBER
10:05 AM

Future Events Prediction with a Forward Intensity Function Approach
Lili Zhu, Bristol-Myers Squibb; Temple University; Cheng Yong Tang, Temple University
10:05 AM

Examining Non-Stationarity in Spatial Processes via an M-RA and Mixture Priors
Veronica J. Berrocal, University of Michigan
10:05 AM

Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM

Hybridized Threshold Clustering for Massive Data
Jianmei Luo, KANSAS STATE UNIVERSITY; Michael Higgins, KANSAS STATE UNIVERSITY; William Henry Hsu, KANSAS STATE UNIVERSITY; ChandraVyas Annakula, KANSAS STATE UNIVERSITY; Aruna Sai Kannamareddy, KANSAS STATE UNIVERSITY
10:35 AM

What Constitutes Scientific Evidence - Controversies in Rare Disease Trial Designs and Personalized Medicine
Mark Chang, Veristat
10:35 AM

Real-World Learning Analytics: Modeling Student Academic Practices and Performance
Chantal D. Larose, Eastern Connecticut State University; Kim Y. Ward, Eastern Connecticut State University
10:50 AM

Building and Teaching a Statistics Curriculum for Post-Doctoral Biomedical Scientists at a Free-Standing Cancer Center
Sujata M Patil, Memorial Sloan Kettering Cancer Center; Ushma Neill, Memorial Sloan Kettering Cancer Center; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:55 AM

Towards Multiple-Imputation-Proper Predictive Mean Matching
Philipp Gaffert, GfK SE; Florian Meinfelder, Universität Bamberg; Volker Bosch, GfK SE
10:55 AM

Sparse Functional Partial Least Squares Method for Spectral Analysis
Jiguo Cao, Simon Fraser University; Tianyu Guan, Simon Fraser University; Kevin Groves, FPInnovation; Martin Feng, FPInnovation
11:00 AM

Identifying Farming Practices and Characteristics Associated with Higher Incomes for Smallholder Farms in Kibaale District, Uganda
Yew-Meng Koh, Hope College
11:05 AM

Measuring the Individual Benefits of a Medical or Behavioral Treatment Using Generalized Linear Mixed-Effects Models
Francisco Diaz, The University of Kansas Medical Center
11:05 AM

Big Data, Google, and Infectious Disease Prediction: a Statistical Perspective
Shihao Yang; S. C. Kou, Harvard University; Mauricio Santillana, Harvard University
11:05 AM

Uniformity of Personalized Treatment
Georgiy Bobashev, Research Triangle Institute; Barry Eggleston, RTI International; Benjamin Carper, RTI International
11:05 AM

Scalar-On-Function Prediction Models with Missing Covariates: Applications in Depression Research Using EEG and Clinical Data
Adam Ciarleglio, Columbia University and the New York State Psychiatric Institute; Eva Petkova, NYU School of Medicine
11:15 AM

Comparison of Support Vector Machine and Conformal Inference of in Regression Prediction
Kao-Tai Tsai, Celgene
11:20 AM

Time-Constrained Predictive Modeling on Large and Continuously Updating Financial Data Sets
Bernard Lee, HedgeSPA Limited; Nicos Christofides, Imperial College London
11:20 AM

The GUIDE Approach to Missing Data
Wei-Yin Loh, University of Wisconsin
11:35 AM

Rescue Medications from a Statistical Perspective - Case Studies and More
qing li, merck; Man (Mandy) Jin, Merck & Co., Inc.
11:35 AM

Conditional Quantile Regression Tree/Random Forest
Huichen Zhu; Ying Wei, Columbia University
11:35 AM

Prediction of Melanoma Prognosis Class Using a Multiclass Discriminant Analysis Classifier with Variable Selection
Sarah Romanes, The University of Sydney; John T Ormerod, University of Sydney; Jean Yee Hwa Yang, University of Sydney, Australia
11:35 AM

Predictive Modeling Applied in National Reporter Cleaning
Xuemei Pan; Mary Pritts, IBM; COBY LU, IBM
11:35 AM

Genotype Prediction for All Publicly Available RNA-Seq Data
Siruo Wang, Johns Hopkins Bloomberg SPH; Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
11:50 AM

Flexible Locally Weighted Penalized Regression with Applications on Prediction of ADNI Clinical Scores
Peiyao Wang; Yufeng Liu, University of North Carolina at Chapel Hill; Dinggang Shen, University of North Carolina at Chapel Hill
11:55 AM

Deep Learning in Quantitative Imaging Analysis
Hongtu Zhu, University of Texas M.D. Anderson
2:05 PM

Partially Linear Functional Additive Models for Multivariate Functional Data
Yehua Li, University of California, Riverside; Raymond Wong, Texas A&M University; Zhengyuan Zhu, Iowa State University
2:05 PM

Forecasting Consumer Interests from Search Query Data Using Large-Scale, Semiparametric Probabilistic Prediction Algorithms
Georg Goerg
2:05 PM

Optimal Quadratic Estimators Using Fourier Transform in the Central Subspaces
Jiaying Weng, University of Kentucky; Xiangrong Yin, University of Kentucky
2:20 PM

Finite Sample Inference for Multiply Imputed Synthetic Data Under a Multiple Linear Regression Model
Martin Klein, U.S. Census Bureau
2:20 PM

Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting
Knut Are Aastveit, Norges Bank; Kenichiro Mcalinn, Booth School of Business, University of Chicago; Jouchi Nakajima, Bank for International Settlements; Mike West, Duke University
2:25 PM

Opportunities of Using Real World Data to Inform Regulatory Considerations for Medical Devices
Martin Ho, FDA
2:25 PM

A Fault Prediction Method for Temporal Data
Emanuele Gramuglia, University of Oslo
2:35 PM

Optimization of Decision Trees by Delaying the Split Decision
Kyle Caudle, South Dakota School of Mines and Technology; Larry Pyeatt, South Dakota School of Mines and Technology; Christer Karlsson, South Dakota School of Mines and Technology; Randy Hoover, South Dakota School of Mines and Technology
2:35 PM

Local, Model-Agnostic Explanations of Machine Learning Predictions
Sameer Singh, University of California, Irvine
2:45 PM

Real World Data Analysis to Inform Clinical Trial Modeling and Simulation
Zhaoling Meng, sanofi; Dimple Patel, sanofi; Qi Tang, Sanofi; Nadia Gaudel-Dedieu, sanofi; James Rogers, Metrum Research Group
2:45 PM

Model Selection Criteria Based on Symmetrized Variants of Asymmetric Divergence Measures
Joseph Cavanaugh, University of Iowa
2:45 PM

Testing for Differentially Expressed Genetic Pathways with Single-Subject N-Of-1 Data in the Presence of Inter-Gene Correlation
Alfred Schissler, University of Nevada, Reno; Walter W Piegorsch, University of Arizona; Yves A Lussier, University of Arizona
2:50 PM

Text Mining Unstructured Data in the Electronic Medical Record
Edwin D'Souza, Leidos; James Zouris, NHRC; Vern F Wing, Leidos
2:50 PM

Evaluating the Census Planning Database, MSG, and Paradata as Predictors of Household Propensity to Respond
Xiaoshu Zhu, Westat; Robert Baskin, Westat; David Morganstein, Westat
2:50 PM

The Predictive Risk of Misspecified Quantile Regression
Alexander Giessing, University of Michigan; Xuming He, University of Michigan
2:50 PM

Evaluating Disease Prediction Models Using a Cohort Whose Covariate Distribution Differs from That of the Target Population
Alice S Whittemore, Stanford University
2:55 PM

Using Imputation Methods to Predict Listing Housing Unit Counts for Small Geographies
Courtney Hill, U.S. Census Bureau; Timothy Kennel, U.S. Census Bureau; T. Trang Nguyen, US Census Bureau
3:05 PM

Model-Based Sampling Design for Multivariate Spatial Prediction on a Stream Network
Dale Zimmerman, American Statistical Association
3:20 PM

Population-Based Disease Risk Prediction Modeling Using National Survey, Clinical, and Registry Data: Application to Risk Prediction for Oropharyngeal Cancer in the US Population
Barry Ira Graubard, National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Joseph Tota, National Cancer Institute; Hormuzd A. Katki, Biostatistics Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute
3:20 PM

Add Time Dimension to the Prediction: a Multi-Stage, Sequential Prediction Model
Zheng Zhang, Brown University
3:35 PM

Thursday, 08/02/2018

Sequential Prediction, Martingale Tail Bounds and Automatic Machine Learning
Karthik Sridharan, Cornell University
8:35 AM

Inferential Challenges in Machine Learning and Precision Medicine
Michael Kosorok, University of North Carolina at Chapel Hill
8:35 AM

Predictive Distribution of Anticipative Alpha-Stable Markov Processes
Sebastian Fries, Paris-Saclay University, Faculty of Mathematics & CREST
8:35 AM

Dynamic Prediction of Competing Risk Events using Landmark Sub-distribution Hazard Model with Multivariate Longitudinal Biomarkers
Cai Wu, Merck & Co.; Liang Li, UT MD Anderson Cancer Center; Ruosha Li, University of Texas School of Public Health
8:50 AM

Uncertainty Quantification of Treatment Regime in Precision Medicine by Confidence Distributions
Minge Xie, Rutgers University; Yilei Zhan, Rutgers University; Sijian Wang, Rutgers University
9:00 AM

Real Time PM2.5 Mapping and Anomaly Detection from AirBoxes in Taiwan
Guowen Huang, National Tsing Hua University
9:00 AM

Validation of 2015 Residential Energy Consumption Survey End-Use Estimates by Bayesian Calibration Models
Hiroaki Minato, U. S. Energy Information Administration (EIA)
9:05 AM

Adjusting for Handling Effects in Microarray Data for Prognostic Biomarker Discovery and Survival Risk Prediction
Ai Ni, Memorial Sloan Kettering Cancer Center; Mengling Liu, New York University; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
9:05 AM

Medication Adherence and Cost Exposure: a Story in Heterogeneity
Rahul Ladhania, Carnegie Mellon University; Amelia M Haviland, Carnegie Mellon University - Heinz College; Neeraj Sood, University of Southern California; Ateev Mehtotra, Harvard Medical School
9:05 AM

Bayesian Analysis of Multiple-Sample Data
Antonio Lijoi, Bocconi University
9:15 AM

Quantile Regression Application in Cost Analysis of Peripheral Artery Intervention in U.S. Healthcare Setting
Haekyung Jeon-Slaughter, University of Texas Southwestern Medical Center; Shirling Tsai, Dallas VA Medical Center; Bala Ramanan, Dallas VA Medical Center; Abigail Wheeler, R Gare; Houman Khalili, Dallas VA Medical Center; Subhash Banerjee, Dallas VA Medical Center; Ishita Tejani, UT Southwestern Medical Center
9:35 AM

Probabilistic Predictive Principal Component Analysis for Spatially-Misaligned and High-Dimensional Air Pollution Data with Missing Observations
Phuong T Vu, University of Washington; Adam A Szpiro, University of Washington
9:35 AM

A Non-Collapsing Particle Filter for a High-Dimensional Cellular Automata Model of Traffic Flow
Thomas Bengtsson, Genentech
9:35 AM

Predicting the Long-Term Exposure in Acute Treatment of Migraine Using a Nonhomogeneous Poisson Process with Random Effects
Kaifeng Lu
9:35 AM

Predictive Multiple Imputation Models to Facilitate Analyzes of Association Between Contemporaneous Medicaid Enrollment Status and Health Measures Among NHANES Participants
Jennifer Rammon, CDC; Jennifer Parker, CDC/NCHS; Yulei He, CDC/NCHS
9:50 AM

Spatial Modeling of Diffusion Tensor Imaging Data from a Cocaine Addiction Study
Dipankar Bandyopadhyay, Virginia Commonwealth University; Zhou Lan, North Carolina State University; Brian Reich, North Carolina State University; Joseph Guinness, NC State University
9:55 AM

Bayesian Extrapolation in Pediatric Clinical Trials
Mehreteab F Aregay, Novartis; David Ohlssen, Novartis; Heinz Schmidli, Novartis Pharamceutical Corporation
10:05 AM

Optimal Treatment Recommendation via Subgroup Identification in Randomized Control Trials
Yang (Grace) Zhao, Gilead Sciences; Haoda Fu, Eli Lilly and Company
10:05 AM

Risk Prediction Using Longitudinal Predictors: An Application to Electronic Health Records Data
Benjamin A Goldstein, Duke University; Michael Pencina, Duke University; Gina-Maria Pomann, Duke University; Wolfgang Winkelmayer, Baylor University
10:35 AM

Data for Good: Designing for Impact
Jake Porway, DataKind
10:35 AM

Utilizing Statistical Methods for Pre-Processing EHR Data for Analysis
Alex Milinovich, Cleveland Clinic
10:55 AM

Individualized Adaptive Dose-Response Modeling in Multiple Myeloma: Potential to Improve Patient Care
Dean Bottino, Takeda Pharmaceuticals U.S.A.
10:55 AM

A Statistical Framework for Cross-Tissue Transcriptome-Wide Association Analysis
Yiming Hu, Yale University
10:55 AM

Scoring Rules for Probabilistic Binary Classification
Matthew Parry, University of Otago
11:00 AM

Model Choice and Future Prediction Accuracy in Time Series for Disease Incidence
Reagan Spindler, Hope College; Yew-Meng Koh, Hope College
11:05 AM

Bayesian Predictive Probability for Interim Analysis
Dung-Tsa Chen, Moffitt Cancer Center
11:05 AM

Bias-Corrected Estimation of Treatment Effects in Biomarker-Based Adaptive Subgroup Analysis: New Approach Based on Randomized Tests with Smooth Rejection Function
Kiichiro Toyoizumi, Shionogi Inc.; Shigeyuki Matsui, Nagoya University
11:05 AM

A Bayesian Hierarchical Model for Continental-Scale Prediction of Water Quality in US Lakes
Meridith Bartley, Penn State University; Ephraim Hanks, The Pennsylvania State University
11:05 AM

A Kernel-Based Neural Network for High-Dimensional Genetic Risk Prediction Analysis
Xiaoxi Shen; Xiaoran Tong, Michigan State University; Qing Lu, Michigan State University
11:05 AM

Individualized Dosing Sequences in Dynamic Precision Medicine for Cancer
Robert Beckman, Georgetown University
11:15 AM

Bayesian Network Meta-Regression Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances
Ming-Hui Chen, University of Connecticut; Hao Li, University of Connecticut; Joseph G Ibrahim, University of North Carolina Chapel Hill; Sung Duk Kim, National Cancer Institute; Arvind K. Shah, MRL, Merck & Co., Inc.; Jianxin Lin, MRL, Merck & Co., Inc.; Andrew M. Tershakovec, MRL, Merck & Co., Inc.
11:15 AM

Periodic Benefit-Risk Assessment Using Bayesian Stochastic Multi-Criteria Acceptability Analysis
Sammy Yuan, Merck; Kan Li, University of Texas Health Science Center; Bill Wang, Merck
11:20 AM

Developing Polygenic Risk Prediction Models for Cancer Subtypes Incorporating Multivariate Disease Characteristics
Haoyu Zhang, Johns Hopkins University; Thomas U. Ahearn, National Cancer Institute; Ni Zhao, Johns Hopkins University; Montserrat García-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
11:20 AM

A Model for Prioritizing Interventions for People at Risk of Incarceration
Erika Salomon, University of Chicago
11:25 AM

Differences in Rates of Suicidal Ideation and Potential Suicide Attempt Among Disabled and Gender Minority Medicare Beneficiaries from 2009--2014
Ana M. Progovac, Harvard Medical School / Cambridge Health Alliance; Brian Mullin, Cambridge Health Alliance; Alex McDowell, Harvard Medical School / Cambridge Health Alliance; Maria Jose Sanchez, Cambridge Health Alliance; Sari L. Reisner, Harvard T.H. Chan School of Public Health ; Emilia Dunham, Massachusetts Department of Public Health ; Cynthia Telingator, Cambridge Health Alliance; Benjamin Le Cook, Harvard Medical School / Cambridge Health Alliance
11:35 AM

Recursive Bayesian Predictive Distributions
Stephen Walker
11:35 AM

Bayesian Reversible-Jump Sequential Variable Selection Methodology for High-Dimensional Arrays of Paired Predictors, with Application in Assessing Added-Value in Proteomics Data.
Bart Mertens, Leiden University Medical Centre; Alexia Kakourou, Leiden University Medical Centre
11:35 AM

Improved Modeling of Imbalanced Data for Dietary Lapse Prediction
Fengqing Zhang, Drexel University; Tinashe M Tapera , Drexel University; Stephanie P Goldstein, Drexel University; Evan Forman, Drexel University
11:35 AM

Targeted Learning for Variable Importance in Precision Medicine
Yue You, Division of Biostatistics, University of California, Berkeley; Alan Hubbard, Division of Biostatistics, University of California, Berkeley; Rachael Callcut, Zuckerberg San Francisco General Hospital, University of California; Lucy Kornblith, Zuckerberg San Francisco General Hospital, UCSF; Sabrinah Christie, Zuckerberg San Francisco General Hospital, UCSF
11:50 AM

Approximate Bayesian Forecasting
Brendan McCabe, University of Liverpool
11:50 AM

Recent Updates to the Medicare Transgender Cohort: Results from ICD-10
Paul Guerino, Centers for Medicare & Medicaid Services; Erin Ewald, NORC at the University of Chicago; Alison Laffan, NORC at the University of Chicago; Christina Dragon, CMS Office of Minority Health; Carl Streed, ?Brigham and Women's Hospital; Zil Goldstein, The Mount Sinai Hospital
11:55 AM

JSM 2018 Online Program

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