All Times EDT
Legend:
Activity Details
19 *
Mon, 8/3/2020,
10:00 AM -
11:50 AM
Virtual
Bayesian Methods for Sports Data — Invited Papers
Section on Statistics in Sports , Section on Bayesian Statistical Science
Organizer(s): Garritt L Page, BYU
Chair(s): Garritt L Page, BYU
10:05 AM
RUSH: An Evolutionary Approach to Ranking College Football Teams
Shane Reese, Brigham Young University
10:30 AM
Bayesian Inferences on Uncertain Ranks and Orderings
Andres Barrientos, Florida State University
10:55 AM
Bayesian Prediction of Performance in Professional Athletes
Gilbert Fellingham, Dept of Statistics, Brigham Young University ; Richard Warr, BYU; Garritt L Page, BYU
11:20 AM
Bayesian Multi-Task Gaussian Process Models for NBA Production Curves
Alexander Franks, UC Santa Barbara
11:45 AM
Floor Discussion
167 *
Tue, 8/4/2020,
10:00 AM -
11:50 AM
Virtual
Sports Analytics Outside the Big Four — Topic Contributed Papers
Section on Statistics in Sports , Committee on Women in Statistics, Committee on Applied Statisticians
Organizer(s): Monnie McGee, Southern Methodist University
Chair(s): Michael Rutter, Penn State Erie, The Behrend College
10:05 AM
The Optimal Value Bill James’ Pythagorean Method for the National Lacrosse League
James Cochran, University of Alabama ; Hayden Howell, Georgia Tech
10:25 AM
Do Female High School Athletes Peak Earlier Than Males? a Time Course Analysis of Times for Various Track and Field Events
Monnie McGee, Southern Methodist University ; Jacy Sparks, Southern Methodist University
10:45 AM
Injuries in Female Wrestlers Presenting to the Emergency Department in the United States
Malik Outram, Virginia Tech ; Heather Pieno, Virginia Tech; Mariam Farzayee, Virginia Tech; Medina Etemadi, Virginia Tech; Sam Miller, Virginia Tech; Charlotte Baker, Virginia Tech
11:05 AM
Fair Qualifying Times Across Age and Gender Categories for the Boston Marathon
Richard Smith, University of North Carolina at Chapel Hill
11:25 AM
Floor Discussion
183
Tue, 8/4/2020,
10:00 AM -
2:00 PM
Virtual
Movement in Sports and Medicine — Contributed Papers
Section on Statistics in Sports
Chair(s): Sarah N Morris, Datalys Center for Sports Injury Research and Prevention
Identifying Heterogeneity in Meta-Analyses: A Permutation-Based Approach
Brinley Nicole Zabriskie, Brigham Young University ; Nolan Cole, Brigham Young University; Jake Baldauf, Brigham Young University; Chris Corcoran, Utah State University; Pralay Senchaudhuri, Cytel
Thou Shalt Not Throw Away Perfectly Good Data: How Using Repeated Measurements Improves Estimation of Mortality Risk in Liver Transplant Candidates
Douglas VanDerwerken, United States Naval Academy
Using Bootstrapping Techniques to Improve the Classification of Healthy and Abnormal Gait Patterns
Morris Morgan, Meck Limited, LLC ; Carolyn Morgan, Meck Limited, LLC; Kristin Denise Morgan, University of Connecticut; Yannis Denise Halkiadakis, University of Connecticut; Yannis Halkidadis, University of Connecticut
NFL Injury Regression to the Mean and Its Causal Effect on Team Performance
Presentation
Zachary Binney, Oxford College of Emory University ; Gregory Matthews, Loyola University Chicago
A Logistic Regression Model for Monitoring and Classifying Post-ACL Rehabilitation Individuals for Return to Sport
Carolyn Morgan, Meck Limited, LLC ; Kristin Denise Morgan, University of Connecticut; Yannis Denise Halkiadakis, University of Connecticut; Yannis Halkidadis, University of Connecticut; Helia Mahzoun Alzakerin, University of Connecticut
217
Tue, 8/4/2020,
10:00 AM -
2:00 PM
Virtual
Contributed Poster Presentations: Section on Statistical Computing & Statistics in Sports — Contributed Poster Presentations
Section on Statistical Computing , Section on Statistics in Sports
1:
Data Expo 2020: Temperature Effect on the United States’ Agriculture
Phuong Ho
2:
Modeling Time-Varying Rankings: An Application to the Ice Hockey World Championships
Vladimír Holý, University of Economics, Prague
3:
An Analysis of Climate Change Impact on Public Opinion
Lydia Carter ; Thomas J Fisher, Miami University
4:
MLB Offensive Performance with Bayesian Nonparametric Models
David Teuscher
5:
Dcortools – Providing Fast and Flexible Distance Correlation Functions for Statistical Applications
Dominic Edelmann, German Cancer Research Center ; Jochen Fiedler, Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
7:
The Ewing Theory and Injuries
Grant Beanblossom
9:
Testing Spatial Distributions of Event/Shot Locations
Michael Schuckers, St. Lawrence University ; Jacquelyn Garso, St. Lawrence University
10:
First-Move Advantage in Amateur Online Chess
Tyler Cook, University of Central Oklahoma
11:
MAYFIELD: Machine Learning Algorithm for Yearly Forecasting Indicators and Estimation of Long-Run Player Development
Alexander Williams, The Ohio State University ; Benjamin Clarke, The Ohio State University; Sethward Brugler, The Ohio State University
12:
Practical Approaches to Accelerating Exact Conditional Inference in Discrete Exponential Families
Grant Innerst, Shippensburg University
13:
Estimation of Ordinal Mixed Models by the Template Model Builder (TMB) Package in R
Manja Grønberg, Technical University of Denmark ; Line Katrine Harder Clemmensen, Technical University of Denmark; Sofie Pødenphant Jensen, Technical University of Denmark
14:
Binary Quantile Regression for Vector Responses
Koki Matsuoka, Doshisha University ; Jun Tsuchida, Tokyo University of Science; Masaaki Okabe, Doshisha University; Hiroshi Yadohisa, Doshisha University
15:
Adaptive Cost-Sensitive Logit Boost for Optimizing Performance Metrics
Masaaki Okabe, Doshisha University ; Hiroshi Yadohisa, Doshisha University
16:
A Novel Genetic Algorithm for Modeling Opinion Diffusion Over a Social Network
Kara Johnson, Montana State University ; Nicole Carnegie, Montana State University; Ralph Barnes, Montana State University
17:
Pliable Lasso for Grouped Predictors
Joochul Lee
329
Wed, 8/5/2020,
10:00 AM -
2:00 PM
Virtual
Prediction and Performance: Applications of Statistics in Sports — Contributed Papers
Section on Statistics in Sports
Chair(s): Andrew W Swift, University of Nebraska At Omaha
Space-Time VON CRAMM: Evaluating Decision-Making in Tennis with Variational GeneratiON of Complete Resolution Arcs via Mixture Modeling
Stephanie Kovalchik, Zelus Analytics ; Martin Ingram, University of Melbourne; Kokum Weeratunga, Edge 10; Cagatay Goncu, Monash University
How to Extend Elo: A Bayesian Perspective
Martin Ingram, University of Melbourne
Ranking and Prediction in Elite Swimming: Extreme Value Theory Applied to Longitudinal Data
Harry Spearing, Lancaster University
Investigating the Determinants of Success in Caribbean Premier League (CPL) T20 Cricket
Rudrunath Singh, The University of the West Indies ; Isaac Dialsingh, The University of the West Indies
407 * !
Wed, 8/5/2020,
1:00 PM -
2:50 PM
Virtual
Emerging Methods in Sports Injury Research: Strategies for Shifting the Paradigm — Topic Contributed Papers
Section on Statistics in Sports , Section on Statistics in Epidemiology
Organizer(s): Avinash Chandran, University of North Carolina at Chapel Hill; Sarah N Morris, Datalys Center for Sports Injury Research and Prevention
Chair(s): Katherine Evans
1:05 PM
Reconciling the Dynamics Between Sports-Related Injury Severity and Recovery Using Time Loss
Avinash Chandran, Datalys Center for Sports Injury Research and Prevention ; Loretta DiPietro, The George Washington University; Heather Young, The George Washington University; Angelo Elmi, The George Washington University
1:25 PM
Return to Play Probabilities and the Assessment of Factors Associated with Recovery After Lower Extremity Injury in College Basketball
Sarah N Morris, Datalys Center for Sports Injury Research and Prevention ; Avinash Chandran, Datalys Center for Sports Injury Research and Prevention; Christy L Collins, Datalys Center for Sports Injury Research and Prevention
1:45 PM
Exploring Symptom Profiles and Severity, and Their Relation to Recovery Among Student Athletes in the Ivy League-Big Ten Epidemiology of Concussion Study
Bernadette Anne D'Alonzo, University of Pennsylvania, School of Medicine ; Douglas J Wiebe, University of Pennsylvania, School of Medicine
2:05 PM
Utilizing a Mixed Effects Model to Assess Risk of Surgery for Sport-Related AC Joint Injuries After Primary Treatment with Platelet Rich Plasma in the United States
Charlotte Baker, Virginia Tech ; Medina Etemadi, Virginia Tech; Mariam Farzayee, Virginia Tech; Malik Outram, Virginia Tech; Heather Pieno, Virginia Tech; Sam Miller, Virginia Tech; Matthew Baskette, Virginia Tech
2:25 PM
Advancing Injury Risk Models Using Sensor-Based and Athlete Wellness Metrics
Jay Hertel, University of Virginia ; Natalie Kupperman, University of Virginia
2:45 PM
Floor Discussion
