Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

CE_03C	Sat, 7/27/2019, 8:30 AM - 5:00 PM	CC-403/404
Big Data, Data Science and Deep Learning for Statistician (ADDED FEE) — Professional Development Continuing Education Course
ASA, Quality and Productivity Section, Section on Physical and Engineering Sciences
Instructor(s): Ming Li, Amazon; Hui Lin, Netlify
With recent big data, data science and deep learning revolution, enterprises ranging from FORTUNE 100 to startups across the world are hungry for data scientists and machine learning scientists to bring actionable insight from the vast amount of data collected. In the past a couple of years, deep learning has gained traction in many application areas and it becomes an essential tool in data scientist’s toolbox. In this course, participant will develop a clear understanding of the big data cloud platform, technical skills in data sciences and machine learning, and especially the motivation and use cases of deep learning through hands-on exercises. We will also cover the “art” part of data science and machine learning to guide participants to learn typical agile data science project flow, general pitfalls in data science and machine learning, and soft skills to effectively communicate with business stakeholders. The big data platform, data science, and deep learning overviews are specifically designed for audience with statistics education background. This course will prepare statisticians to be successful data scientists and machine learning scientist in various industries and business sectors with deep learning as focuses.
8:30 AM	Big Data, Data Science and Deep Learning for Statistician (ADDED FEE) Hui Lin, Netlify; Ming Li, Amazon

29	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-502
SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 1 — Contributed Speed
Survey Research Methods Section, Transportation Statistics Interest Group, Quality and Productivity Section, Business and Economic Statistics Section, IMS
Chair(s): Georgiy Bobashev, Research Triangle Institute
Poster Presentations for this session.
2:05 PM	Frame Development and Sample Design for the 2018 National Survey of Children's Health Presentation Emilee Sizemore, US Census Bureau; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
2:10 PM	A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys Presentation Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat
2:15 PM	A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units Presentation Padraic Murphy, U.S. Census Bureau
2:20 PM	Statistical Data Integration and Inference via Multilevel Regression and Poststratification Presentation Yajuan Si, University of Michigan
2:30 PM	Comparing the Performance of Machine Learning and Semiparametric Regression Methods for Prediction of Travel Times and Flows on Urban Mass Transit Systems Daniel Graham, Imperial College London
2:35 PM	The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis Presentation Jundi Liu, University of Washington; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
2:40 PM	Causal Impacts of New Urban Transit Provision on Air Quality: a Case Study of Jubilee Line Extension in London Liang Ma, Imperial College London; Marc E. J. Stettler, Imperial College London; Daniel Graham, Imperial College London
2:45 PM	Comparing the Quality of Online to Interviewer-Gathered Survey Data: Preliminary Results from the 2019 Survey of Consumer Finances Web Experiment Presentation Richard Windle, Federal Reserve Board
2:50 PM	Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations Presentation Sara Sauer, Harvard School of Public Health; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
3:00 PM	Bayesian Uncertainty Estimation Under Complex Sampling Presentation Matthew Williams, National Science Foundation; Terrance Savitsky, Bureau of Labor Statistics
3:05 PM	How Hard Is it to Remove Mode Effects in Multimode Surveys? Basic Weighting V. Three Model-Based Methods Matt Jans; Randy ZuWallack, ICF; Kelly Martin, ICF; Thomas Brassell, ICF; James Dayton, ICF; Stephen Immerwahr, NYC DOHMH; Amber Levanon Seligson, NYC DOHMH; Sahnah Lim, NYU
3:15 PM	Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors Presentation Bo Lan, University of North Carolina; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
3:20 PM	Use of Matching Algorithms to Determine Unit Eligibility Presentation 1 Presentation 2 Brandon Hopkins, RTI International; Kimberly Ault, RTI International
3:25 PM	DOE Optimization of Managing Trip in Europe Presentation 1 Presentation 2 Charles Chen, Applied Materials; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
3:30 PM	Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation Presentation David Popko, Bureau of Labor Statistics; Ilmo Sung., U.S. Bureau of Labor Statistics
3:35 PM	Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm Presentation Taylor Brown, University of Virginia; Tim McMurry, University of Virginia School of Medicine
3:40 PM	Two-Step Estimation for Time Varying ARCH Models Presentation Yuanyuan Zhang; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
3:45 PM	Floor Discussion

218884	Sun, 7/28/2019, 5:00 PM - 6:30 PM	H-Centennial Ballroom B
Quality and Productivity Section Business Meeting — Other Cmte/Business
Quality and Productivity Section
Chair(s): Brian Weaver

89	Sun, 7/28/2019, 5:05 PM - 5:50 PM	CC-Hall C
SPEED: Survey Methods, Transportation Studies, SocioEconomics, and General Statistical Methods Part 2 — Contributed Poster Presentations
Survey Research Methods Section, Transportation Statistics Interest Group, Quality and Productivity Section, Business and Economic Statistics Section, IMS
Chair(s): Georgiy Bobashev, Research Triangle Institute
Oral Presentations for this session.
20:	Frame Development and Sample Design for the 2018 National Survey of Children's Health Emilee Sizemore, US Census Bureau; Tracy Mattingly, US Census Bureau; Antoinette Lubich, US Census Bureau
21:	A Modeling Approach to Compensate for Nonresponse and Selection Bias in Surveys Tien-Huan Lin, Westat; Ismael Flores Cervantes, Westat
22:	A Comparison of Clustering Criteria for Evaluating Multivariate Stratifications of Primary Sampling Units Padraic Murphy, U.S. Census Bureau
23:	Statistical Data Integration and Inference via Multilevel Regression and Poststratification Yajuan Si, University of Michigan
25:	Comparing the Performance of Machine Learning and Semiparametric Regression Methods for Prediction of Travel Times and Flows on Urban Mass Transit Systems Daniel Graham, Imperial College London
26:	The Relationship Between Driver Performance and Driver Workload Using Functional Data Analysis Jundi Liu, University of Washington; Erika Miller, Colorado State University; Linda Ng Boyle, University of Washington
27:	Causal Impacts of New Urban Transit Provision on Air Quality: a Case Study of Jubilee Line Extension in London Liang Ma, Imperial College London; Marc E. J. Stettler, Imperial College London; Daniel Graham, Imperial College London
28:	Comparing the Quality of Online to Interviewer-Gathered Survey Data: Preliminary Results from the 2019 Survey of Consumer Finances Web Experiment Richard Windle, Federal Reserve Board
29:	Cluster-Stratified Outcome-Dependent Sampling in Resource-Limited Settings: Inference and Small-Sample Considerations Sara Sauer, Harvard School of Public Health; Bethany Hedt-Gauthier, Harvard Medical School; Claudia Rivera-Rodriguez, University of Auckland; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
30:	Bayesian Uncertainty Estimation Under Complex Sampling Matthew Williams, National Science Foundation; Terrance Savitsky, Bureau of Labor Statistics
31:	How Hard Is it to Remove Mode Effects in Multimode Surveys? Basic Weighting V. Three Model-Based Methods Matt Jans; Randy ZuWallack, ICF; Kelly Martin, ICF; Thomas Brassell, ICF; James Dayton, ICF; Stephen Immerwahr, NYC DOHMH; Amber Levanon Seligson, NYC DOHMH; Sahnah Lim, NYU
33:	Use of Matching Algorithms to Determine Unit Eligibility Brandon Hopkins, RTI International; Kimberly Ault, RTI International
34:	Use of an Artificial Realistic Dataset to Compare the Performance of Different Cross-Sectional Methods for Estimating Crash Modification Factors Bo Lan, University of North Carolina; Raghavan Srinivasan, University of North Carolina Highway Safety Research Center
35:	Does Location Matter? a Case-Study of the Influence of Geography in Measurement of Gasoline Price Inflation David Popko, Bureau of Labor Statistics; Ilmo Sung., U.S. Bureau of Labor Statistics
36:	DOE Optimization of Managing Trip in Europe Charles Chen, Applied Materials; Mason Chen, Mission San Jose High School, Stanford OHS; Brianna Zheng, Basis School
37:	Estimating Generalized Linear Models with the Pseudo-Marginal Metropolis-Hastings Algorithm Taylor Brown, University of Virginia; Tim McMurry, University of Virginia School of Medicine
38:	Two-Step Estimation for Time Varying ARCH Models Yuanyuan Zhang; Rong Liu, University of Toledo; Qin Shao, University of Toledo; Lijian Yang, Tsinghua University
Oral Presentations for this session.

161 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-301
Dynamic Interactive Data Visualization and Utilization — Topic Contributed Papers
Section on Statistical Graphics, Section on Physical and Engineering Sciences, Quality and Productivity Section
Organizer(s): Blanton Godfrey, North Carolina State University
Chair(s): Blanton Godfrey, North Carolina State University
10:35 AM	Visual Analytics Driven Human-Computer Collaborative Decision Making to Solve Global Challenges David S. Ebert, Purdue
10:55 AM	Data Visualization Challenges in Reducing Maternal and Child Mortality in Support of the UN's Sustainable Development Goal 3 Presentation Shaghayegh Arangdad; Blanton Godfrey, North Carolina State University
11:15 AM	Applying Dynamic Interactive Visualization for Statistical Discovery in JMP Presentation Boyd Alexander Gregg, III, SAS Institute, Inc.
11:35 AM	Using Leaflet.Js to Interactively Map the Opioid Crisis Presentation Peter Herman, NORC at the University of Chicago; Ned English, NORC at the University of Chicago
11:55 AM	Discussant: Lori H. Rothenberg, North Carolina State Un.
12:15 PM	Floor Discussion

214 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-203
Combinatorial Testing: Using Covering Arrays to Maximize the Impact of Testing — Invited Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Statistics in Defense and National Security
Organizer(s): Michael Crotty, SAS
Chair(s): Michael Crotty, SAS
2:05 PM	Factorial Experiments, Covering Arrays, and Combinatorial Testing Raghu Kacker, National Institute of Standards and Technology; Rick Kuhn, National Institute of Standards and Technology; Yu Lei, University of Texas at Arlington; Dimitris Simos, SBA-Research, Austria
2:30 PM	The Construction of ?-Bad Covering Arrays Presentation Dennis Lin, The Pennsylvania State University; Kevin Quinlan, The Pennsylvania State University
2:55 PM	Analysis and Evaluation of Covering Arrays Using Prior Information Ryan Lekivetz, JMP Division of SAS; Joseph Morgan, JMP Division of SAS
3:20 PM	Visualizing Covering Arrays Using Design Fractals Presentation Caleb King, JMP Division of SAS; Joseph Morgan, JMP Division of SAS; Ryan Lekivetz, JMP Division of SAS
3:45 PM	Floor Discussion

230 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-109
Innovative STEAMS Methdology Over STEM — Topic Contributed Papers
Quality and Productivity Section, Committee on Outreach Education, Section on Statistics and Data Science Education
Organizer(s): Charles Chen, Applied Materials
Chair(s): Charles Chen, Applied Materials
2:05 PM	STEAMS Applications on Gaming Science and Analytics Presentation Mason Chen, Mission San Jose High School, Stanford OHS; Luke Liu, Stratford School
2:25 PM	STEAMS Approach on NBA Basketball Games Presentation Alan Yao, Mission San Jose High School, and Stanford Online High School; Mason Chen, Mission San Jose High School, Stanford OHS
2:45 PM	STEAMS Application on Chronic Low Back pain and Exercise Intervention Julianne Chiu; Kaitlyn Zhang, Stanford OHS; Mason Chen, Mission San Jose High School, Stanford OHS
3:05 PM	STEAMS Applications on Foods Science and Analytics Kaitlyn Zhang, Stanford OHS; Mason Chen, Mission San Jose High School, Stanford OHS
3:25 PM	Discussant: Patrick Giuliano, Abbott
3:45 PM	Floor Discussion

295	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-103
SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 1 — Contributed Speed
Survey Research Methods Section, Quality and Productivity Section
Chair(s): Katherine McLaughlin, Oregon State University
Poster Presentations for this session.
8:35 AM	Using Paradata to Explore Users Pathways Through Web Surveys Presentation Renee Ellis, U.S. Census Bureau
8:40 AM	Why Machines Matter for Survey and Social Science Researchers: Exploring How Machine Learning Methods Can Be Applied to the Design, Collection and Analysis of Social Science Data Antje Kirchner, RTI International; Trent Burskirk, Bowling Green State University
8:45 AM	A Computationally Efficient Method for Selecting a Split Questionnaire Design Presentation Matthew Stuart; Cindy Yu, Iowa State University
8:50 AM	Assessing the Relationship Between Balanced Sample and Sample Representativity Presentation 1 Presentation 2 Yonil Park, US Census Bureau; Thomas John Chesnut, US Census Bureau
8:55 AM	Trend Analysis for Complex Survey Data with Bayesian Approach Presentation Yi Mu, Centers for Disease Control and Prevention
9:00 AM	Applications of R Shiny to Evaluate and Improve Total Survey Quality Presentation 1 Presentation 2 Xiaodan Lyu, Iowa State University; Heike Hofmann, Iowa State University; Emily Berg, Iowa State University; Jie Li, Iowa State University; Xin Zhang, Iowa State University
9:05 AM	Modifying State Sample Sizes for the National Crime Victimization Survey Presentation Samantha Spiers, U.S. Census Bureau; Sandra Peterson, U.S. Census Bureau; David Hornick, U.S. Census Bureau
9:10 AM	Small Area Estimates of the Child Population and Poverty in School Districts Using Dirichlet-Multinomial Models Presentation Jerry Maples, U.S. Census Bureau
9:15 AM	Re-Examining File-Level Re-Identification Risk Assessment Presentation 1 Presentation 2 Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
9:20 AM	Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey Benmei Liu, National Cancer Institute; Elise Rice, National Institute of Dental and Craniofacial Research; Richard Moser, National Cancer Institute
9:30 AM	Multilevel Models for Assessing the Impact of the Presidential Youth Fitness Program Presentation Ronaldo Iachan, ICF Macro, Inc.
9:35 AM	ADDRESSING DESIGN and ESTIMATION CHALLENGES WHEN USING MRP in PUBLIC HEALTH and BEHAVIORAL SCIENCE APPLICATIONS Presentation 1 Presentation 2 Robert Petrin, Ipsos Public Affairs; Alexa DiBenedetto, Ipsos; Luke Vaicunas, Ipsos Public Affairs
9:40 AM	Tracking Public Opinion with Twitter: a Critical Comparison of Cross-Sectional and Longitudinal Analyzes Presentation 1 Presentation 2 Robyn Ferg; Johann A Gagnon-Bartsch, University of Michigan; Fred Conrad, University of Michigan
9:45 AM	Recommendations for Assessing and Evaluating Variable Crosswalks Presentation Mitch Sevigny, Craig Hospital; Jessica Ketchum, Craig Hospital; David Mellick, Craig Hospital
9:50 AM	A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey Presentation Rachel Harter, RTI International; Amang Sukasih, RTI International; Jeniffer Iriondo-Perez, RTI International; Akhil Vaish, RTI International
9:55 AM	Benchmarking Mobile App Geofenced Samples: Adjusting for National Coverage and Selection Bias Presentation Davia Moyse, ICF; YangYang Deng, ICF Macro, Inc.; Matt Jans, ICF; Ronaldo Iachan, ICF Macro, Inc.; Richard (Lee) Harding, ICF; Kristie Healey, ICF; James Dayton, ICF; Scott Worthge, MFour Mobile Research; Laura O'Campo, MFour Mobile Research
10:00 AM	Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples Presentation Paul John Lavrakas, Independent Consultant
10:05 AM	Identity Disclosure Control in Microdata Release by Post-Randomization Xiaoyu Zhai; Tapan Nayak, George Washington University
10:10 AM	Entrepreneurship Environmental Success Factors in the Textiles and Apparel Industries Presentation Samaneh Pourmojib, North Carolina State University; Blanton Godfrey, North Carolina State University
10:15 AM	Floor Discussion

297	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-501
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 1 — Contributed Speed
Section on Bayesian Statistical Science, International Chinese Statistical Association, Quality and Productivity Section, Section on Statistical Graphics, Section on Physical and Engineering Sciences, ASA LGBT Concerns Committee, Section on Statistics in Imaging
Chair(s): Rajarshi Guhaniyogi, University of California, SC
Poster Presentations for this session.
8:35 AM	Subfield Yield Analysis for Precision Agriculture Presentation Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
8:40 AM	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Presentation Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
8:45 AM	A Bayesian Approach for Estimating Earth’s "missing" Minerals Presentation Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
8:50 AM	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
8:55 AM	Air Pollutant Prediction from Precipitation Presentation 1 Presentation 2 Presentation 3 Patrick Chang, JLS Middle School
9:00 AM	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Presentation 1 Presentation 2 Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
9:05 AM	Exploratory Data Analysis of US Air Quality Presentation Xuemao Zhang, East Stroudsburg University
9:10 AM	Visualizing a Cyber Physical System in Drill Down Perspective Presentation Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
9:15 AM	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
9:20 AM	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Presentation 1 Presentation 2 Maoran Xu, University of Florida; Li Duan, University of Florida
9:30 AM	Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure Presentation Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
9:35 AM	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
9:40 AM	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
9:45 AM	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
9:50 AM	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
9:55 AM	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
10:00 AM	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
10:05 AM	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
10:10 AM	Clustering and Classification of Exocytic Events Presentation Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
10:15 AM	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Presentation Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA

338	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-103
SPEED: Biostatistical Methods, Application, and Education, Part 1 — Contributed Speed
ENAR, Section on Medical Devices and Diagnostics, Mental Health Statistics Section, Quality and Productivity Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Poster Presentations for this session.
10:35 AM	Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis Presentation Brian Healy, Biostatistics Center/Massachusetts General Hospital
10:40 AM	Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
10:45 AM	New Results on the Weighted Generalized Score for Comparing Two Correlated Means Presentation Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
10:50 AM	Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods Presentation Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
10:55 AM	Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
11:00 AM	Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting E. Neeley Tass, Brigham Young University
11:05 AM	Sample Size Calculations in Single-Case Designs Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
11:10 AM	Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation Presentation Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
11:15 AM	Coffee and Cardiovascular Disease Prevention Anna Wu; Patrick Giuliano, Abbott
11:20 AM	Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists Presentation Kedai Cheng; Derek Young, University of Kentucky
11:30 AM	Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study Presentation Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
11:35 AM	Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016 Yutaka Aoki, National Center for Health Statistics
11:40 AM	Optimality in Group Testing Estimation with Misclassification Md. S. Sarker, Radford University
11:45 AM	Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates Presentation Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
11:50 AM	A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data Benjamin W. Rogers, UCLA
11:55 AM	Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
12:00 PM	Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students Presentation Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
12:05 PM	Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
12:10 PM	Pre-Conceptions of Statistical Inference in Biostatistics Presentation Aimee Schwab-McCoy, Creighton University

349 *	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-705
Quality, Reliability and Measurement System — Contributed Papers
Quality and Productivity Section
Chair(s): Alex Gutman, 84.51º
10:35 AM	Measurement Systems Analysis for Functional Data Presentation Laura Lancaster, SAS Institute Inc.; Chris Gotwalt, SAS Institute Inc.
10:50 AM	Objective Comparison of Confidence Bound Methods for Binomial Series System Reliability Edward Schuberg, MARC
11:20 AM	Extracting Practical Value from Experimental Designs Through Simulation Presentation 1 Presentation 2 Rob Lievense, JMP
11:35 AM	A Repairable System with Two Spare Units and Two Repair Facilities Serviced by Two Types of Repairers Presentation Vahid Andalib, Indiana University - Purdue University Indianapolis (IUPUI); Jyotirmoy Sarkar, Indiana University - Purdue University Indianapolis (IUPUI)
11:50 AM	Statistical Sampling Plans for Quality Control Presentation Chunrong Cheng, FDA; Boguang Zhen, FDA
12:05 PM	The Investigation and Monitoring of Network Using Duality Between Network and Time Series Presentation Zhi Wang

354	Tue, 7/30/2019, 10:30 AM - 11:15 AM	CC-Hall C
SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 2 — Contributed Poster Presentations
Survey Research Methods Section, Quality and Productivity Section
Chair(s): Katherine McLaughlin, Oregon State University
Oral Presentations for this session.
17:	Using Paradata to Explore Users Pathways Through Web Surveys Renee Ellis, U.S. Census Bureau
18:	Why Machines Matter for Survey and Social Science Researchers: Exploring How Machine Learning Methods Can Be Applied to the Design, Collection and Analysis of Social Science Data Antje Kirchner, RTI International; Trent Burskirk, Bowling Green State University
19:	A Computationally Efficient Method for Selecting a Split Questionnaire Design Matthew Stuart; Cindy Yu, Iowa State University
20:	Assessing the Relationship Between Balanced Sample and Sample Representativity Yonil Park, US Census Bureau; Thomas John Chesnut, US Census Bureau
21:	Trend Analysis for Complex Survey Data with Bayesian Approach Yi Mu, Centers for Disease Control and Prevention
22:	Applications of R Shiny to Evaluate and Improve Total Survey Quality Xiaodan Lyu, Iowa State University; Heike Hofmann, Iowa State University; Emily Berg, Iowa State University; Jie Li, Iowa State University; Xin Zhang, Iowa State University
23:	Modifying State Sample Sizes for the National Crime Victimization Survey Samantha Spiers, U.S. Census Bureau; Sandra Peterson, U.S. Census Bureau; David Hornick, U.S. Census Bureau
24:	Small Area Estimates of the Child Population and Poverty in School Districts Using Dirichlet-Multinomial Models Jerry Maples, U.S. Census Bureau
25:	Re-Examining File-Level Re-Identification Risk Assessment Lin Li, Westat; Jane Li, Westat; Tom Krenzke, Westat; Natalie Shlomo, University of Manchester
26:	Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey Benmei Liu, National Cancer Institute; Elise Rice, National Institute of Dental and Craniofacial Research; Richard Moser, National Cancer Institute
27:	Multilevel Models for Assessing the Impact of the Presidential Youth Fitness Program Ronaldo Iachan, ICF Macro, Inc.
28:	ADDRESSING DESIGN and ESTIMATION CHALLENGES WHEN USING MRP in PUBLIC HEALTH and BEHAVIORAL SCIENCE APPLICATIONS Robert Petrin, Ipsos Public Affairs; Alexa DiBenedetto, Ipsos; Luke Vaicunas, Ipsos Public Affairs
29:	Tracking Public Opinion with Twitter: a Critical Comparison of Cross-Sectional and Longitudinal Analyzes Robyn Ferg; Johann A Gagnon-Bartsch, University of Michigan; Fred Conrad, University of Michigan
30:	Recommendations for Assessing and Evaluating Variable Crosswalks Mitch Sevigny, Craig Hospital; Jessica Ketchum, Craig Hospital; David Mellick, Craig Hospital
31:	A Practical Guide to Small Area Estimation, Illustrated Using the Ohio Medicaid Assessment Survey Rachel Harter, RTI International; Amang Sukasih, RTI International; Jeniffer Iriondo-Perez, RTI International; Akhil Vaish, RTI International
32:	Benchmarking Mobile App Geofenced Samples: Adjusting for National Coverage and Selection Bias Davia Moyse, ICF; YangYang Deng, ICF Macro, Inc.; Matt Jans, ICF; Ronaldo Iachan, ICF Macro, Inc.; Richard (Lee) Harding, ICF; Kristie Healey, ICF; James Dayton, ICF; Scott Worthge, MFour Mobile Research; Laura O'Campo, MFour Mobile Research
33:	Investigating the Value of Appending New Types of Big Data to Address-Based Survey Frames and Samples Paul John Lavrakas, Independent Consultant
34:	Identity Disclosure Control in Microdata Release by Post-Randomization Xiaoyu Zhai; Tapan Nayak, George Washington University
35:	Entrepreneurship Environmental Success Factors in the Textiles and Apparel Industries Samaneh Pourmojib, North Carolina State University; Blanton Godfrey, North Carolina State University
Oral Presentations for this session.

362	Tue, 7/30/2019, 11:35 AM - 12:20 PM	CC-Hall C
SPEED: Food, Environment, Biomedical Imaging and Physical System Visualization/Learning, Part 2 — Contributed Poster Presentations
Section on Bayesian Statistical Science, Section on Statistical Graphics, International Chinese Statistical Association, Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistics in Imaging, ASA LGBT Concerns Committee
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21:	Subfield Yield Analysis for Precision Agriculture Jarad Niemi, Iowa State University; Luis Damiano, Iowa State University
22:	From Prediction Models to Shiny App: Creating a Tool for Contaminated Food Source Prediction in Salmonella and STEC Outbreaks Caroline Ledbetter, University of Colorado; Alice White, Colorado School of Public Health; Elaine Scallan Walter, Colorado School of Public Health; David Weitzenkamp, Colorado School of Public Health
23:	A Bayesian Approach for Estimating Earth’s "missing" Minerals Grethe Hystad, Purdue University Northwest; Ahmed Eleish, Rensselaer Polytechnic Institute; Robert Downs, University of Arizona; Shaunna Morrison, Geophysical Laboratory, Carnegie Institution for Science; Robert Hazen, Geophysical Laboratory, Carnegie Institution for Science
24:	A Fully Bayesian Approach to Typhoon Precipitation Forecast Yu-Chun Huang, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan
25:	Air Pollutant Prediction Using Precipitation Patrick Chang, JLS Middle School
26:	Hierarchical Bayesian Models to Estimate the Effects of Determinants of Airway and Alveolar Nitric Oxide Jingying Weng; Noa Molshatski, University of Southern California; Paul Marjoram, University of Southern California; Patrick Muchmore, University of Southern California; Shujing Xu, University of Southern California; Frank D Gilliland, University of Southern California; Sandrah P Eckel, University of Southern California
27:	Exploratory Data Analysis of US Air Quality Xuemao Zhang, East Stroudsburg University
28:	Visualizing a Cyber Physical System in Drill Down Perspective Giovanni Sparacio, Saint Joseph's University; Kathleen Garwood, Saint Joseph's University; Marcello Balduccini, Saint Joseph's University
29:	Model Transfer Between Material Systems for Distortion Prediction in Laser-Based Additive Manufacturing Arman Sabbaghi, Purdue University; Jack Francis, Mississippi State University; Linkan Bian, Mississippi State University
30:	Where Does Our Working Memory Take Place? a Multi-Level Sub-Graph Analysis of Brain Functional Connectivities Maoran Xu, University of Florida; Li Duan, University of Florida
31:	Robust Spatial Extent Inference with a Semiparametric Bootstrap Joint Testing Procedure Simon Vandekar, Vanderbilt University; Theodore Satterthwaite, University of Pennsylvania; Cedric K Xia, University of Pennsylvania; Azeez Adebimpe, University of Pennsylvania; Kosha Ruparel, University of Pennsylvania; Ruben C Gur, University of Pennsylvania; Raquel E Gur, University of Pennsylvania; Russell Shinohara, University of Pennsylvania
32:	Analytic White Matter Tractography and Compositional Distance Based Summarization of White Matter Brain Structures Wendy Meiring, University of California At Santa Barbara; Matthew Cieslak, U.Penn; Tegan Brennan, UCSB; Subhash Suri, UCSB; Scott T. Grafton , UCSB
33:	Harmonization of Multi-Scanner Longitudinal MRI Neuroimaging Data Joanne C Beer, University of Pennsylvania; Russell Shinohara, University of Pennsylvania; Kristin Linn, University of Pennsylvania
34:	Machine Learning and Deep Learning Based on Multiple View Images and Additional Information Zheng Xu, University of Nebraska-Lincoln; Cong Wu, University of Nebraska-Lincoln
35:	Bayesian Penalized Model for Classification and Selection of Functional Predictors Using Longitudinal MRI Data from ADNI Asish Banik, Michigan State University; Taps Maiti, Michigan State University; Andrew Bender, Michigan State University
36:	Survival Analysis for Medical Imaging Data Samantha Morrison, Brown University; Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University
37:	Deformation-Based Morphometry Adapted for Lung CT Sarah Ryan; Tasha Fingerlin, National Jewish Health; Nichole E Carlson, University of Colorado Anschutz; Lisa Maier, National Jewish Health
38:	Radiomics Analysis Using Stability Selection Supervised Principal Component Analysis for Right-Censored Survival Data Kang Yan, School of Public Health, Li Ka Shing Faculty of Medicine,The University of Hong Kong ; Xiaofei Wang, Duke University School of Medicine; Wendy Lam , School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Ho; Varut Vardhanabhuti , Li Ka Shing Faculty of Medicine, The University of Hon; Anne W.M. Lee , The University of Hong; Herbert Pang, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong
39:	Clustering and Classification of Exocytic Events Ciaran Evans, Carnegie Mellon University; Max G'Sell, Carnegie Mellon University; Zara Weinberg, University of Michigan; Manojkumar Puthenveedu, University of Michigan
40:	Lessons Learned Applying Deep Learning Approaches to Forecasting Complex Seasonal Behavior Andrew T Karl, Adsurgo LLC; James Wisnowski, Adsurgo LLC; Lambros Petropoulos, USAA
Oral Presentations for this session.

383 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-505
Experimental Design Applications in the Pharmaceutical Industry — Invited Papers
Section on Physical and Engineering Sciences, Biopharmaceutical Section, Quality and Productivity Section
Organizer(s): Stan Altan, Janssen R&D
Chair(s): Areti Manola, Janssen R&D
2:05 PM	Experimental Design in the Pharmaceutical Industry Presentation Brad Evans, Pfizer, Inc
2:25 PM	Central Composite Designs for Process Characterization, Why? Jose Ramirez, Amgen, Inc.
2:45 PM	Overview of DoEs and Applications in the Pharmaceutical Industry Presentation Jyh-Ming Shoung, Janssen R&D; Dwaine Banton, Janssen R&D; Areti Manola, Janssen R&D
3:05 PM	An Extended Youden Design for Biological Assays Presentation Yi Hua, University of Illinois at Chicago; Samad Hedayat, University of Illinois at Chicago; Min Yang, University of Illinois at Chicago; Stan Altan, Janssen R&D
3:25 PM	Discussant: Stan Altan, Janssen R&D
3:45 PM	Floor Discussion

390 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-506
Advanced Fault Detection and Attribution in Large and Complex Data Streams — Topic Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science
Organizer(s): Amanda S Hering, Baylor University
Chair(s): Amanda S Hering, Baylor University
2:25 PM	Multiple Tensor-On-Tensor Regression: An Approach for Modeling Processes with Heterogeneous Sources of Data Kamran Paynabar, Georgia Institute of Technology; Mostafa Resisi, Georgia Tech; Hao Yan, Arizona State University; Jianjun Shi, Georgia Tech
2:45 PM	A Fault Detection Strategy Based on Wavelet Multiscale Representation of the Process Fouzi Harrou, King Abdullah University of Science and Technology; Ying Sun, King Abdullah University of Science and Technology
3:05 PM	Fault Detection Using PCA at a Municipal Wastewater Treatment Facility Presentation Kathryn Blair Newhart, Colorado School of Mines; Tzahi Cath, Colorado School of Mines; Amanda S Hering, Baylor University
3:25 PM	Fault Attribution in a Complex, Nonstationary, and Temporally Dependent Wastewater Treatment System Presentation Molly Klanderman, Baylor University
3:45 PM	Floor Discussion

418	Tue, 7/30/2019, 2:00 PM - 2:45 PM	CC-Hall C
SPEED: Biostatistical Methods, Application, and Education, Part 2 — Contributed Poster Presentations
Section on Medical Devices and Diagnostics, ENAR, Mental Health Statistics Section, Quality and Productivity Section, General Methodology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Oral Presentations for this session.
20:	Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
21:	Pre-Conceptions of Statistical Inference in Biostatistics Aimee Schwab-McCoy, Creighton University
22:	Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis Brian Healy, Biostatistics Center/Massachusetts General Hospital
23:	Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
24:	Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists Kedai Cheng; Derek Young, University of Kentucky
25:	Coffee and Cardiovascular Disease Prevention Anna Wu; Patrick Giuliano, Abbott
26:	Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
27:	Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
28:	Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016 Yutaka Aoki, National Center for Health Statistics
29:	Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting E. Neeley Tass, Brigham Young University
30:	Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
31:	Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
32:	Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
33:	Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
34:	Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
35:	New Results on the Weighted Generalized Score for Comparing Two Correlated Means Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
36:	Sample Size Calculations in Single-Case Designs Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
37:	A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data Benjamin W. Rogers, UCLA
38:	Optimality in Group Testing Estimation with Misclassification Md. S. Sarker, Radford University
Oral Presentations for this session.

421	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-Hall C
Contributed Poster Presentations: Quality and Productivity Section — Contributed Poster Presentations
Quality and Productivity Section
Chair(s): Wendy Meiring, University of California At Santa Barbara
61:	Effects of Mixture Distributions on Phase I and Phase II Performance of Shewhart Style Charts Bryce Whitehead, University of Northern Colorado; Austin Brown, University of Northern Colorado
62:	Hill Climb Racing Video Game: Return of Investment Analysis Luke Liu; Julianne Chiu; Mason Chen, Mission San Jose High School, Stanford OHS
63:	Statistical Process Control in the Presence of Multiple Batch Effects Lindsay Jones, Boeing; Robert Michael Lawton, Boeing; Kelsea Cox, Boeing
64:	A Comparison of Four Methods of Inverse Prediction Christine Watters, Louisiana State University Health Sciences Center; Lynn LaMotte, Louisiana State University Health Sciences Center
65:	Prediction of Shrimp Size Distribution Reared Inside Submersible Sea Cages Rafael Perez Abreu, Centro de Investigación en Matemáticas, A.C. (CIMAT); Ignacio Mendez, CIMAT; Raul Perez Gallardo, CIMAT
66:	Designing Bridging Studies to Adjust for Assay Changes in National Surveys Maya Sternberg, Centers for Disease Control & Prevention
67:	A Process Control Model with Decisions Based on Runs William S Griffith, University of Kentucky; Michelle Smith, Eastern Kentucky University
68:	Advanced Visualization Techniques for Big Data Scott Wise, JMP (A Division of SAS, Inc)

485 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-102
Decision Making in Tech Giants Through A/B Testing, Prediction and Optimization — Invited Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences, Section on Statistical Learning and Data Science
Organizer(s): Tirthankar Dasgupta, Rutgers University
Chair(s): Anqi Zhao, National University of Singapore
10:35 AM	A Multi-Objective Optimization for Web Based Ranking Problems Souvik Ghosh, LinkedIn Corporation
11:00 AM	Improving External Validity of A/B Testing Using Jackknife Presentation Yu Wang, University of California, Berkeley; Somit Gupta, Microsoft Corporation; Jiannan Lu, Microsoft Corporation; Ali Mahmoudzadeh, Microsoft Corporation; Sophia Liu, Microsoft Corporation
11:25 AM	Limitations of Design-Based Causal Inference and A/B Testing Under Arbitrary and Network Interference Guillaume Basse, UC Berkeley; Edoardo Airoldi, Temple
11:50 AM	Discussant: Edoardo M Airoldi, Harvard University
12:15 PM	Floor Discussion

600 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-111
Less Can Be More: Smart Sampling in Data and Engineering Sciences — Topic Contributed Papers
Section on Physical and Engineering Sciences, Quality and Productivity Section, Section on Statistical Learning and Data Science
Organizer(s): Xinwei Deng, Virginia Tech; C. Devon Lin, Queen's University
Chair(s): Xinwei Deng, Virginia Tech
8:35 AM	Replication or Exploration? Sequential Design for Stochastic Simulation Experiments Presentation Robert Gramacy, Virginia Tech; Mickael Binois, Argonne National Laboratory; Jiangeng Huang, Virginia Tech; Mike Ludkovsku, UC Santa Barbara
8:55 AM	Choosing the Best Partition for the Output from a Large-Scale Simulation Presentation Emily Casleton, Los Alamos National Laboratory; Chelsea Challacombe, University of California-San Diego; Jonathan Woodring, Los Alamos National Laboratory
9:15 AM	Support Points: An Optimal and Model-Free Method for Subsampling Big Data Roshan Vengazhiyil, Georgia Institute of Technology; Simon Mak, Georgia Institute of Technology
9:35 AM	Varying Coefficient Frailty Models with Applications in Single Molecular Experiments Presentation 1 Presentation 2 Presentation 3 Jiazhao Zhang, Rutgers University; Ying Hung, Rutgers University; Tirthankar Dasgupta, Rutgers University
9:55 AM	Meta-Modeling for ICU Contamination Transmission Simulations: Using Smart Sampling and Machine Learning to Link Data to Simulation Parameters Presentation Ben Haaland, University of Utah; Damon Toth, University of Utah; Molly Leecaster, University of Utah
10:15 AM	Floor Discussion

615 *	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-109
Statistical Process Control — Contributed Papers
Quality and Productivity Section
Chair(s): Laura Lancaster, SAS Institute Inc.
8:35 AM	Monitoring Performances of Surgeons Using a New Risk-Adjusted Exponentially Weighted Moving Average Control Chart Presentation Fah Fatt Gan, National University of Singapore
8:50 AM	A Change Point Distance-Based Multivariate Control Chart Tool for Ecological and Environmental Monitoring Nurudeen A. Adegoke, School of Natural and Computational Sciences, Massey University, New Zealand; Marti J. Anderson, New Zealand Institute for Advanced Study, Massey University, New Zealand ; Adam N. H. Smith, School of Natural and Computational Sciences, Massey University, New Zealand; Matthew D. M. Pawley, School of Natural and Computational Sciences, Massey University, New Zealand
9:05 AM	Effects of Parameter Estimation on the Modified and Acceptance Control Charts Presentation Felipe Jardim, Pontifical Catholic University of Rio De Janeiro; Bruna Ker , Federal University of São Carlos (UFSCar); Subhabrata Chakraborti, University of Alabama; Pedro Oprime, Federal University of São Carlos (UFSCar)
9:20 AM	A Phase II EWMA Chart for the Random Effects Model Presentation Yuhui Yao, The University of Alabama; Subhabrata Chakraborti, University of Alabama
9:50 AM	Bayesian Based Acceptance Criteria for SPC Applications Hesham Fahmy, AbbVie; Yanbing Zheng, AbbVie; Yuanyuan Duan, AbbVie
10:05 AM	Effective Disease Screening by Online Risk Monitoring Presentation Lu You, University of Florida; Peihua Qiu, University of Florida

643 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-201
Detection of Changes and Structural Breaks in Business and Industrial Data Streams — Topic Contributed Papers
Quality and Productivity Section, Section on Physical and Engineering Sciences
Organizer(s): Emmanuel Yashchin, IBM Research
Chair(s): Julie Novak, Netflix
10:35 AM	Testing and Estimation of Change-Points in LSHD Data Streams: Asymptotics and Application to Ozone Monitoring Ansgar Steland, Insitute of Statistics
10:55 AM	Change Detection for Multi-Stage Multivariate Data Emmanuel Yashchin, IBM Research
11:15 AM	Pattern Detection via Biclustering in High-Frequency Financial Time Series Haitao Liu, Worcester Polytechnic Institute; Nalini Ravishanker, University of Connecticut; Jian Zou, Worcester Polytechnic Institute
11:35 AM	Multiple Breakpoint Detection: Mixing Documented and Undocumented Changepoints Presentation Robert Lund, Clemson University; Yingbo Li, Clemson University
11:55 AM	Detection of Changes in Spatial Data Michael Baron, American University
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association