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

Activity Details


19 * !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-301
Statistical Computing and Statistical Graphics: Student Paper Award and Chambers Statistical Software Award — Topic Contributed Papers
Section on Statistical Computing, Section on Statistical Graphics
Organizer(s): Jun Yan, University of Connecticut
Chair(s): Jun Yan, University of Connecticut
2:05 PM Vecchia-Laplace Approximations of Generalized Gaussian Processes for Big Non-Gaussian Spatial Data
Presentation
Daniel Zilber; Matthias Katzfuss, Texas A & M University
2:25 PM Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series
Rui Xie, University of Georgia; Zengyan Wang, University of Georgia; Shuyang Bai, University of Georgia; Ping Ma, University of Georgia; Wenxuan Zhong, University of Georgia
2:45 PM The R Conf Package for Plotting Likelihood-Ratio Based Confidence Regions for Two-Parameter Univariate Probability Models
Presentation
Christopher Weld, William & Mary; Andrew Loh, William & Mary; Lawrence Leemis, William & Mary
3:05 PM Computing High-Dimensional Normal and Student-T Probabilities with Tile-Low-Rank Quasi-Monte Carlo and Block Reordering
Presentation
Jian Cao, King Abdullah University of Science and Technology; Marc Genton, King Abdullah University of Science and Technology; David Keyes, King Abdullah University of Science and Technology; George Turkiyyah, American University of Beirut
3:25 PM A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data
Earo Wang, Monash University; Dianne Cook, Monash University; Rob J Hyndman, Monash Univeristy
3:45 PM Floor Discussion
 
 

25 !
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-704
What Contributes to a Successful Data Visualization Project? — Topic Contributed Panel
Section on Statistical Graphics, Social Statistics Section
Organizer(s): Nola du Toit, NORC at the University of Chicago
Chair(s): Nola du Toit, NORC at the University of Chicago
2:05 PM What Contributes to a Successful Data Visualization Project?
Presentation 1 Presentation 2 Presentation 3
Panelists: Jessica R Hullman, Northwestern University
Laura Fingerson, Institutional Insights, Strategic Education, Capella University | Strayer Univ
Michael Latterner, NORC at the University of Chicago
Naomi Robbins, NBR-Graphs
Sam Tyner, Iowa State University
3:40 PM Floor Discussion
 
 

28
Sun, 7/28/2019, 2:00 PM - 3:50 PM CC-501
SPEED: Data Challenge Part 1 — Contributed Speed
Government Statistics Section, Section on Statistical Consulting, Section on Statistical Graphics
Chair(s): Wendy L Martinez, Bureau of Labor Statistics
Poster Presentations for this session.
2:05 PM Interactive Visualization of Housing Condition Changes in NYC
Qi Qi, University of Connecticut; Jun Yan, University of Connecticut
2:10 PM Immigrant Residency and Happiness in New York City
Presentation 1 Presentation 2 Presentation 3
Alison Tuiyott, Miami University of Ohio; Thomas J Fisher, Miami University; Karsten Maurer, Miami University
2:15 PM An Analysis of Rent-Control Policy on Housing Quality
Presentation
Benjamin Schweitzer, Miami University; Thomas J Fisher, Miami University; Karsten Maurer, Miami University
2:20 PM An Analysis of Immigrants and House Condition in New York City
Xiang Shen, George Washington University; Mingze Zhang, George Washington University; Shunyan Luo, George Washington University
2:25 PM Comparing NYCHVS Responses About Housing Issues to NYC 311 Complaint Records
Presentation
Letisha Smith
2:30 PM Correlates and Changes in New York City Housing Densities from 2002 to 2017
Presentation
Elizabeth Pirraglia, NYU School of Medicine; Matthias Altwicker, NYIT; Andrea Troxel, NYU School of Medicine
2:35 PM Data Challenge Expo
Presentation
Darcy Hille, Merck & Company Inc; Ellen Snyder, Merck
2:40 PM An Analysis of Housing Quality in New York City
Jordan Rodu, University of Virginia
2:50 PM Statistical Analysis of the Association Between Housing Quality/Gentrification and Resident Behaviors in New York City
Presentation
Hon Keung Tony Ng, Southern Methodist University; Leqi Chen, Southern Methodist University; Jingzhou Liu, Southern Methodist University; Lynne Stokes, Southern Methodist University; Lang Xu, Southern Methodist University; Greg Guggenmos, Southern Methodist University; Madeline Hamilton, Southern Methodist University
2:55 PM Measuring Gentrification Over Time with the NYCHVS
Robert Montgomery, NORC; Quentin Brummet, NORC; Nola du Toit, NORC at the University of Chicago; Peter Herman, NORC at the University of Chicago; Edward Mulrow, NORC at the University of Chicago
3:00 PM Measuring Gentrification: a Data Driven Approach
Steven Stier; Hend Aljobaily, University of Northern Colorado; Kofi Wagya, University of Northern Colorado; Michael Oduro-Safo, University of Northern Colorado
3:05 PM Changes in Quality Housing Index in New York City
Presentation
Tuan Nguyen, University of Evansville; Mark Mozina, University of Evansville; Colton Albin, University of Evansville; Xianrui She, University of Evansville; Andrew Moore, University of Evansville
3:10 PM Housing Affordability and Immigration: An Exploratory Analysis in New York City
Presentation
Jhonatan Medri, Utah State University; Braden Probst
3:20 PM Findings from Analysis and Visualization of the New York City Housing and Vacancy Survey Data
Presentation
Nels Grevstad, Metropolitan State University of Denver; Rachel Rosebrook, Metropolitan State University of Denver; Lance Barto, Metropolitan State University of Denver; Gil Leibovich, Metropolitan State University of Denver; Elizabeth Foster, Metropolitan State University of Denver; ThienNgo Le, Metropolitan State University of Denver; Kelsey Smith, Metropolitan State University of Denver; Nathanael Whitney, Metropolitan State University of Denver; Zoe Girkin, Metropolitan State University of Denver; Ahern Nelson, Metropolitan State University of Denver; Karan Bhargava, Metropolitan State University of Denver; Alex Whalen-Wagner, Metropolitan State University of Denver; Gemma Hoeppner, Metropolitan State University of Denver; Larry Breeden, Metropolitan State University of Denver; Ayako Zrust, Metropolitan State University of Denver; Travis Rebhan, Metropolitan State University of Denver; Anayeli Ochoa, Metropolitan State University of Denver
3:25 PM Floor Discussion
 
 

52 * !
Sun, 7/28/2019, 4:00 PM - 5:50 PM CC-501
The 2018 Statistical Computing and Graphics Award — Invited Papers
Section on Statistical Computing, Section on Statistical Graphics
Organizer(s): Jun Yan, University of Connecticut
Chair(s): Michael Kane, Yale
4:05 PM Some Thoughts on Languages for Statistical Computing and Graphics
Presentation
Luke Tierney, University of Iowa
4:30 PM Visible and Invisible: Statistical Graphics and Computing Infrastructure
Thomas Lumley, University of Auckland
4:55 PM Lessons Learned in Interactive and Dynamic Graphics
Heike Hofmann, Iowa State University
5:20 PM The Estimable Luke Tierney -- and Estimability in R
Presentation
Russell V. Lenth, University of Iowa
5:45 PM Floor Discussion
 
 

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
 
 

191
Mon, 7/29/2019, 10:30 AM - 12:20 PM CC-Hall C
Contributed Poster Presentations: Section on Statistical Graphics — Contributed Poster Presentations
Section on Statistical Graphics
Chair(s): Wendy Meiring, University of California At Santa Barbara
88: A Visual Interpretation of a Linear Mixed Model
Kevin Wright, Corteva
 
 

218874
Mon, 7/29/2019, 12:30 PM - 2:00 PM H-Mineral Hall E
Sections on Statistical Computing and Statistical Graphics Executive Council Meeting — Other Cmte/Business
Section on Statistical Computing, Section on Statistical Graphics
Chair(s): Dianne Cook, Monash University; Wendy L Martinez, Bureau of Labor Statistics
 
 

217 !
Mon, 7/29/2019, 2:00 PM - 3:50 PM CC-301
Computing Making Impact: The Best of JCGS — Invited Papers
JCGS-Journal of Computational and Graphical Statistics, Section on Statistical Computing, Section on Statistical Graphics
Organizer(s): Dianne Cook, Monash University
Chair(s): Tyler McCormick, University of Washington
2:05 PM Data Science: a Three Ring Circus or a Big Tent?
Presentation
Jennifer Bryan, RStudio, University of British Columbia; Hadley Wickham, RStudio
2:25 PM Identifying Mixtures of Mixtures Using Bayesian Estimation
Bettina Grün, Johannes Kepler Universität; Gertraud Malsiner-Walli, Wirtschaftsuniversität Wien; Sylvia Frühwirth-Schnatter, Wirtschaftsuniversität Wien
2:45 PM Bayesian Fused Lasso Regression for Dynamic Binary Networks
Presentation
Brenda Betancourt, University of Florida
3:05 PM Designing Modular Software: a Case Study in Introductory Statistics
Andrea Kaplan, Duke University; Eric Hare, Omni Analytics
3:25 PM Discussant: Dianne Cook, Monash University
3:45 PM Floor Discussion
 
 

218875
Mon, 7/29/2019, 6:30 PM - 8:00 PM H-Centennial Ballroom B
Sections on Statistical Computing and Statistics Graphics Mixer — Other Cmte/Business
Section on Statistical Computing, Section on Statistical Graphics
Chair(s): Dianne Cook, Monash University; Wendy L Martinez, Bureau of Labor Statistics
 
 

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
 
 

314 * !
Tue, 7/30/2019, 10:30 AM - 12:20 PM CC-605
They Never Die: a Historical Overview of the Many Uses of Famous Historic Data Sets — Invited Papers
Section on Statistical Graphics, Journal of Statistics Education, History of Statistics Interest Group, Caucus for Women in Statistics
Organizer(s): Wendy L Martinez, Bureau of Labor Statistics
Chair(s): Wendy L Martinez, Bureau of Labor Statistics
10:35 AM The Unsinkable Titanic Data
Presentation
Juergen Symanzik, Utah State University; Michael Friendly, York University; Ortac Onder, York University
11:05 AM Give Your Statistician Colleague Iris Bulbs for Their House Warming!
Dianne Cook, Monash University
11:35 AM Do Data Have a Limited Shelf Life?
Stephen Stigler, University of Chicago
12:05 PM Floor Discussion
 
 

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
 
 

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.
 
 

401 * !
Tue, 7/30/2019, 2:00 PM - 3:50 PM CC-704
Why JavaScript? — Topic Contributed Panel
Section on Statistical Graphics, Section on Statistical Computing
Organizer(s): Joyce Robbins, Columbia University
Chair(s): Tim Hesterberg, Google
2:05 PM Why JavaScript?
Presentation 1 Presentation 2 Presentation 3
Panelists: Karl Broman, University of Wisconsin
Carson Sievert, RStudio
Ramnath Vaidyanathan, DataCamp
Joy Yang, Google
3:40 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.
 
 

515
Wed, 7/31/2019, 10:30 AM - 12:20 PM CC-105
Visualization for Distributions, Networks and Statistical Inference — Contributed Papers
Section on Statistical Graphics
Chair(s): Harold Gomes, U.S. Bureau of Labor Statistics
10:35 AM Automatic Visualization
Leland Wilkinson, H2O
10:50 AM Graphical Comparison of High-Dimensional Distributions
Presentation
Reza Modarres, George Washington University
11:05 AM Sample Variance Plot and Identifying Characteristics of the Distribution
Uditha Amarananda Wijesuriya, University of Southern Indiana
11:20 AM Ggvoronoi: Voronoi Tessellations in R
Presentation
Thomas J Fisher, Miami University; Robert C Garrett, Miami University; Karsten Maurer, Miami University
11:35 AM Visualization Methods for Interval Data
Muzi Zhang, Penn State University; Dennis Lin, The Pennsylvania State University
11:50 AM Semiparametric Dynamic Adaptive Robust Estimations for High-Dimensional Networks
Tzu-Chun Wu, University of Cincinnati; Emily Lei Kang, University of Cincinnati
12:05 PM Lady Tasting Tea Lineups for Visual Statistical Inference
Presentation
Karsten Maurer, Miami University; Seonjin Kim, Miami University; George Woodbury, Miami University
 
 

550 * !
Wed, 7/31/2019, 2:00 PM - 3:50 PM CC-605
Statistics on Street Corners — Invited Papers
Section on Statistical Graphics, Section on Statistical Computing, Section on Bayesian Statistical Science
Organizer(s): Dianne Cook, Monash University
Chair(s): Heike Hofmann, Iowa State University
2:05 PM Visual Inference for Model Checking
Presentation
Adam Loy, Carleton College; Heike Hofmann, Iowa State University; Dianne Cook, Monash University
2:20 PM Can You Become Skillful Over Time to Influence Visual Inference
Presentation
Mahbubul Majumder, University of Nebraska at Omaha; Dianne Cook, Monash University; Heike Hofmann, Iowa State University
2:35 PM Deep Visual Inference: Teaching Computers to See Rather Than Calculate Correlation
Presentation
Giora Simchoni, vFunction
2:50 PM Statistical Lineups for Bayesians
Presentation
Susan Vanderplas, Iowa State University; Heike Hofmann, Iowa State University
3:05 PM Discussant: Hadley Wickham, RStudio
3:35 PM Floor Discussion
 
 

590 * !
Thu, 8/1/2019, 8:30 AM - 10:20 AM CC-205
Better Deciding Through Discretizing: The State of the Art in Uncertainty Visualization — Invited Papers
Section on Statistical Graphics, Section on Statistics and Data Science Education, Journal of Statistics Education
Organizer(s): Jessica R Hullman, Northwestern University
Chair(s): Jessica R Hullman, Northwestern University
8:35 AM Uncertainty Displays for Helping Engineers Make Better Decisions
Presentation
Mike Kirby, University of Utah Scientific Visualization
9:05 AM Uncertainty Displays for Helping Laypeople Make Better Decisions
Matthew Kay, University of Michigan
9:35 AM Cognitive Sources of Reasoning Errors with Uncertainty Visualization
Lace R Padilla, Northwestern University
10:05 AM Floor Discussion