Legend:
CC = Baltimore Convention Center,
H = Hilton Baltimore
* = applied session ! = JSM meeting theme
Activity Details
155 *
Mon, 7/31/2017,
10:30 AM -
12:20 PM
CC-348
Advances in Discrete Choice Experimentation and Modeling — Topic Contributed Papers
Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Organizer(s): Jeffrey Dotson, Brigham Young University
Chair(s): Jeffrey Dotson, Brigham Young University
10:35 AM
Gremlins in the Data: Identifying the Information Content of Research Subjects
—
John Howell, Penn State University
10:55 AM
Studying Consumer Choices of Location in Public Environments
—
Tatiana Dyachenko, Georgetown University ; Simon Blanchart, Georgetown University ; Keri Kettle, University of Manitoba
11:15 AM
Task-Level Error Scale Modeling Using Tracking Data
—
Roger Bailey, Ohio State Univ
11:35 AM
An Alternative Method for Measuring Willingness-To-Pay Using Truncated Distributions of Heterogeneity
—
Adam Smith, The Ohio State University ; Dong Soo Kim, The Ohio State University ; Mingyu Joo, The Ohio State University
12:15 PM
Floor Discussion
162
Mon, 7/31/2017,
10:30 AM -
12:20 PM
CC-326
SPEED: Government Statistics, Health Policy, and Marketing — Contributed Speed
Government Statistics Section , Health Policy Statistics Section , Section on Statistics in Marketing , Section on Bayesian Statistical Science , Social Statistics Section , Section on Statistics in Defense and National Security
Chair(s): Cynthia Rush, Columbia University
10:35 AM
Using Interrupted Time Series to Examine the Validity of the Surveillance Definition of Catheter-Associated Urinary Tract Infection in U.S. Hospitals
—
Minn Soe, Surveillance Branch, DHQP, NCEZID, CDC
10:40 AM
Comparisons of Calibration Methods for the RECS Engineering End-Use Estimates
—
Shaofen Grace Deng, U.S. Energy Information Administration ; Greg Lawson , U.S. Energy Information Administration ; Chrishelle Lawrence, U.S. Energy Information Administration
10:45 AM
Demonstrating the Usefulness of the National Hospital Care Survey to Track Patients Who Used Outpatient Department and Other Hospital Services Over Time
—
Geoffrey Jackson, National Center for Health Statistics, CDC ; Margaret Hall, National Center for Health Statistics, CDC ; Alexander Schwartzman, National Center for Health Statistics, CDC
10:50 AM
Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS
—
Jay Olsen, EIA Dept of Energy
10:55 AM
Methodologies for Clinical Trials Using Historical Control
—
Yeh-Fong Chen, US Food and Drug Administration
11:00 AM
Forced Migration: Visualizing Patterns of Refugee Movements
—
Jacquelyn Neal, Vanderbilt University ; Hannah E Weeks, Vanderbilt University
11:05 AM
Raking Weighting Methodology: Reweight Combined Multiple Years of Child Data, the Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-Back Survey
—
Xiaoting Qin, Center for Disease Control Prevention ; Hatice S Zahran, Center for Disease Control Prevention ; Cathy M Bailey, Center for Disease Control Prevention
11:10 AM
Beneath the Veneer of Healthcare Quality Measurement: Sample Size Estimation
—
Adeline Wilcox, Retired
11:20 AM
Racial and Ethnic Disparities in Disability Among Medicare Beneficiaries in Rural Communities: ACS 2012-2015
—
Loida Tamayo, CMS Office of Minortiy Health ; Shondelle Wilson-Frederick, CMS Office of Minority Health ; Elsa Haile, CMS Office of Minority Health ; Cara James, CMS Office of Minority Health
11:25 AM
Child Abuse on Trial: a Statistical Analysis of Shaken Baby Syndrome
—
Maria Cuellar, Carnegie Mellon University
11:30 AM
A Terminal Trend Model for Longitudinal Medical Cost Data and Survival
—
Qian Yang, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Tor D. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Anna N. A. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Jeffrey C. Munson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Zhigang Li, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
11:35 AM
Quantifying the Value of Research: Identifying and Measuring Treatment Effect Modifiers
—
Katherine Lofgren, Harvard University ; Daniel Kramer, Beth Israel Deaconess Medical Center ; Joshua Salomon, Harvard T.H. Chan School of Public Health ; Laura Anne Hatfield, Harvard Medical School
11:40 AM
A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
—
Lysbeth Floden, University of Arizona ; Patrick Anthony O'Connor, University of Arizona ; Melanie Bell, University of Arizona
11:45 AM
Biomarker-Based Cross-Sectional Incidence Estimation with Incomplete Data
—
Douglas Ezra Morrison, UCLA ; Ron Brookmeyer, UCLA ; Oliver Laeyendecker, Johns Hopkins University ; Jacob Konikoff
11:50 AM
An Integrated Analysis and Reporting System for Data Science Teams
—
Iyue Sung, Press Ganey ; David Klotz, Press Ganey ; Jacob Cheng, Press Ganey ; Wei-Han Chen, Press Ganey ; Nikolas Matthes, Press Ganey ; Peggy Miller, Press Ganey
11:55 AM
A Community and Node Attribute-Corrected Stochastic Blockmodel
—
Kristen M. Altenburger, Stanford University ; W. Philip Kegelmeyer, Sandia National Laboratories ; Ali Pinar, Sandia National Laboratories ; Jeremy D. Wendt, Sandia National Laboratorie ; Cliff Anderson-Bergman, Sandia National Laboratories
12:00 PM
Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
—
Charles Au, University of Sydney ; S. T. Boris Choy, University of Sydney
12:05 PM
AARP 2016 Master Model Building and Validation
—
Renting Xu, AARP ; Jared Weiss, AARP, Inc ; Paul Maiste, Lityx,LLC ; Jerrod Begora, Lityx,LLC ; Roger Marcus, Lityx,LLC
12:10 PM
Floor Discussion
207 !
Mon, 7/31/2017,
2:00 PM -
3:50 PM
CC-338
Experiments and Inference for Social Networks — Invited Papers
Section on Statistical Computing , Section on Statistical Learning and Data Science , Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Organizer(s): Daniel L Sussman, Boston University
Chair(s): Elizabeth L Ogburn, Johns Hopkins University
2:05 PM
Massive Meta-Analysis with Experiments as Instruments: Applications to Peer Effects in Networks
—
Dean Eckles, MIT ; Alexander Peysakhovich, Facebook
2:30 PM
Unbiased Estimation Under Network Interference
—
Daniel L Sussman, Boston University ; Edoardo M. Airoldi, Harvard University
2:55 PM
Design of Experiments for Networks with Interference
—
Alexander Volfovsky, Duke University
3:20 PM
A Computational Perspective of Information Propagation in Social Networks
—
Laks V.S. Lakshmanan, University of British Columbia
3:45 PM
Floor Discussion
250
Mon, 7/31/2017,
2:00 PM -
2:45 PM
CC-Halls A&B
SPEED: Sports and Business — Contributed Poster Presentations
Section on Statistics in Sports , Business and Economic Statistics Section , Section on Statistics in Marketing , Section on Statistical Learning and Data Science
Chair(s): Jessi Cisewski, Yale University
2:
Player Tracking for Division I Women's College Hockey
—
Maxime Bost-Brown ; Michael Schuckers, St. Lawrence University
3:
Predicting NFL Player Success From Analysts' Diction
—
Hubert Song, North Carolina State University ; Karl Pazdernik, North Carolina State University
4:
No Punt Intended
—
Nicholas Eisemann, California State Univ Chico ; Camille Pensabene, St. John Fisher College ; Dylan Gouthro, Chico State ; Demond Handley, Kansas State University ; MyDoris Soto, California State University-Fullerton
5:
Quantifying the Causal Effects of Conservative Fourth Down Decision Making in the National Football League
—
Derrick Yam, Skidmore College ; Michael J. Lopez, Skidmore College
7:
Predict NBA 2016-2017 Regular Season MVP Winner
—
Mason Chen, Mason Chen Consulting
8:
Predict NBA 2016-2017 Regular Season Team Winning%
—
Timothy Liu ; Mason Chen, Mason Chen Consulting
11:
Operations Research on NCAA Football Re-Injury Prevention
—
Nelson Chung, U. S. Census Bureau
13:
Functional Clustering of Elo Ratings for Competitive Balance Analysis in Professional Soccer Leagues
—
jinglin feng, Pennsylvania State University ; Andrew Hwang, Pennsylvania State University
14:
Instrumental Variables Approaches in Hurdle Data
—
Jacqueline Mauro, Carnegie Mellon University
15:
Deep Learning Econometrics
—
Guanhao Feng ; Nicholas Polson, University of Chicago ; Jianeng Xu, University of Chicago
16:
Unexpected Customer Relationship Leads to Doubling Market Share Through Predictive Analytics and Data Mining
—
Steven Reagan, L&L Products, Inc.
17:
How Statistics Is Essential to Business Analytics
—
Mary Whiteside, University of Texas-Arlington ; Mark Eakin, The University of Texas at Arlington
18:
Finding the Edge in Baccarat's Dragon and Panda Side Bets
—
Robert Hannum, University of Denver ; Teresa Dalton, University of California, Irvine
The Speed portion will take place during Session 214525
253
Mon, 7/31/2017,
3:05 PM -
3:50 PM
CC-Halls A&B
SPEED: Government Statistics, Health Policy, and Marketing — Contributed Poster Presentations
Government Statistics Section , Health Policy Statistics Section , Section on Statistics in Marketing , Section on Bayesian Statistical Science , Social Statistics Section , Section on Statistics in Defense and National Security
Chair(s): Jessi Cisewski, Yale University
15:
Using Interrupted Time Series to Examine the Validity of the Surveillance Definition of Catheter-Associated Urinary Tract Infection in U.S. Hospitals
—
Minn Soe, Surveillance Branch, DHQP, NCEZID, CDC
16:
Comparisons of Calibration Methods for the RECS Engineering End-Use Estimates
—
Shaofen Grace Deng, U.S. Energy Information Administration ; Greg Lawson , U.S. Energy Information Administration ; Chrishelle Lawrence, U.S. Energy Information Administration
17:
Demonstrating the Usefulness of the National Hospital Care Survey to Track Patients Who Used Outpatient Department and Other Hospital Services Over Time
—
Geoffrey Jackson, National Center for Health Statistics, CDC ; Margaret Hall, National Center for Health Statistics, CDC ; Alexander Schwartzman, National Center for Health Statistics, CDC
18:
Imputing Water Consumption in Large Commercial Buildings in the 2012 CBECS
—
Jay Olsen, EIA Dept of Energy
19:
Methodologies for Clinical Trials Using Historical Control
—
Yeh-Fong Chen, US Food and Drug Administration
20:
Forced Migration: Visualizing Patterns of Refugee Movements
—
Jacquelyn Neal, Vanderbilt University ; Hannah E Weeks, Vanderbilt University
21:
Raking Weighting Methodology: Reweight Combined Multiple Years of Child Data, the Behavioral Risk Factor Surveillance System (BRFSS) Asthma Call-Back Survey
—
Xiaoting Qin, Center for Disease Control Prevention ; Hatice S Zahran, Center for Disease Control Prevention ; Cathy M Bailey, Center for Disease Control Prevention
22:
Beneath the Veneer of Healthcare Quality Measurement: Sample Size Estimation
—
Adeline Wilcox, Retired
23:
Racial and Ethnic Disparities in Disability Among Medicare Beneficiaries in Rural Communities: ACS 2012-2015
—
Loida Tamayo, CMS Office of Minortiy Health ; Shondelle Wilson-Frederick, CMS Office of Minority Health ; Elsa Haile, CMS Office of Minority Health ; Cara James, CMS Office of Minority Health
24:
Child Abuse on Trial: a Statistical Analysis of Shaken Baby Syndrome
—
Maria Cuellar, Carnegie Mellon University
25:
A Terminal Trend Model for Longitudinal Medical Cost Data and Survival
—
Qian Yang, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Tor D. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Anna N. A. Tosteson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Jeffrey C. Munson, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire ; Zhigang Li, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire
26:
Quantifying the Value of Research: Identifying and Measuring Treatment Effect Modifiers
—
Katherine Lofgren, Harvard University ; Daniel Kramer, Beth Israel Deaconess Medical Center ; Joshua Salomon, Harvard T.H. Chan School of Public Health ; Laura Anne Hatfield, Harvard Medical School
27:
A Case Study in Adaptive LASSO Logistic Regression: Factors Related to Cyclist Death When Drivers Are Distracted
—
Lysbeth Floden, University of Arizona ; Patrick Anthony O'Connor, University of Arizona ; Melanie Bell, University of Arizona
28:
Biomarker-Based Cross-Sectional Incidence Estimation with Incomplete Data
—
Douglas Ezra Morrison, UCLA ; Ron Brookmeyer, UCLA ; Oliver Laeyendecker, Johns Hopkins University ; Jacob Konikoff
29:
An Integrated Analysis and Reporting System for Data Science Teams
—
Iyue Sung, Press Ganey ; David Klotz, Press Ganey ; Jacob Cheng, Press Ganey ; Wei-Han Chen, Press Ganey ; Nikolas Matthes, Press Ganey ; Peggy Miller, Press Ganey
30:
A Community and Node Attribute-Corrected Stochastic Blockmodel
—
Kristen M. Altenburger, Stanford University ; W. Philip Kegelmeyer, Sandia National Laboratories ; Ali Pinar, Sandia National Laboratories ; Jeremy D. Wendt, Sandia National Laboratorie ; Cliff Anderson-Bergman, Sandia National Laboratories
31:
Analysis of the Australian Election Study Using Bayesian Quantile Regression Models
—
Charles Au, University of Sydney ; S. T. Boris Choy, University of Sydney
32:
AARP 2016 Master Model Building and Validation
—
Renting Xu, AARP ; Jared Weiss, AARP, Inc ; Paul Maiste, Lityx,LLC ; Jerrod Begora, Lityx,LLC ; Roger Marcus, Lityx,LLC
The Speed portion will take place during Session 214530
416
Tue, 8/1/2017,
2:00 PM -
3:50 PM
CC-321
A Tour of Statistical Innovations in Marketing Research — Contributed Papers
Section on Statistics in Marketing , Quality and Productivity Section , Statistics in Business Schools Interest Group
Chair(s): John Howell, Penn State University
2:05 PM
Explaining Preference Heterogeneity with Mixed Membership Modeling
—
Marc Dotson, Brigham Young University
2:20 PM
MaxDiff Adjusted to Items Non-Availability and Network Effects
—
Stan Lipovetsky, GfK North America ; Michael W. Conklin, GfK North America
2:35 PM
Predicting Market Segment Membership Using Deep Learning
—
Lynd Bacon, LBA Ltd. | Northwestern Univ. | Notre Dame Univ.
2:50 PM
An IAB Taxonomy-Based Classifier for Categorizing High Volume Noisy Data of User Generated URLs
—
Zainab Jamal, Guavus Inc ; Peng Wang, Guavus ; Roger Brooks, Guavus ; Prateek Jain, Guavus ; Mudit Jain, Guavus ; Kuldeep Jiwani, Guavus ; Karun Arora, Guavus ; Nisha Vashist, Guavus ; Sahil Jain, Guavus ; Shipra Kapadia, Guavus
3:05 PM
Understanding the Differences in Regulatory Tax Sampling and Estimation Methodologies by Federal and State Jurisdictions
—
Roger Carl Pfaffenberger, Ryan LLC ; Zac Rhyne, Ryan LLC
3:20 PM
SPC Charts for Monitoring Interpersonal Networks
—
Marcus Perry, University of Alabama ; Curry Hilton, University of Alabama
3:35 PM
Causal Models for Numerical Variables in Media Planning
—
Igor Mandel, Telmar Inc.
448 * !
Wed, 8/2/2017,
8:30 AM -
10:20 AM
CC-336
The Essential Role of Statistics in Modeling Complex Data in Business and Economics — Invited Papers
Section on Statistics in Marketing , Business and Economic Statistics Section , International Chinese Statistical Association , Statistics in Business Schools Interest Group
Organizer(s): Wenjiang Fu, University of Houston
Chair(s): Xiaotong T Shen, University of Minnesota
8:35 AM
Spectral Methods Meet EM: a Provably Optimal Algorithm for Crowdsourcing
—
Xi Chen, NYU
9:00 AM
Modeling Smart WiFi Tracking Data and Customer Purchase Conversion
—
Jason Duan, University of Texas at Austin
9:25 AM
Trend of the US Family Income and Assets - a Bumpy Ride Around the Millennium
—
Wenjiang Fu, University of Houston
9:50 AM
Betting on Low Volatility
—
Zhaogang Song, Johns Hopkins University ; Lai Xu, Syracuse Univeristy ; Nicola Fusari, Johns Hopkins University
10:15 AM
Floor Discussion
524
Wed, 8/2/2017,
10:30 AM -
12:20 PM
CC-Halls A&B
Contributed Poster Presentations: Section on Statistics in Marketing — Contributed Poster Presentations
Section on Statistics in Marketing , Statistics in Business Schools Interest Group
Chair(s): Jessi Cisewski, Yale University
44:
A Bayesian Structural Model for Designing Financial Incentive Offers to Automotive Dealerships
—
Wenyi Wu, University of Michigan ; Peter Lenk, University of Michigan
45:
Clustering Methods for Ordered Categorical Data with Response Style
—
Mariko Takagishi, Graduate School of Culture and Information Science, Doshisha University ; Michel van de Velden, Department of Econometrics, Erasmus School of Economics, Erasmus University Rotterdam ; Hiroshi Yadohisa, Department of Culture and Information Science, Doshisha University