Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building,
CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago,
UC = Conference Chicago at University Center
* = applied session ! = JSM meeting theme
169
Mon, 8/1/2016,
10:30 AM -
12:20 PM
CC-W181a
SPEED: Statistical Computing and Sports — Contributed Speed
Section on Statistical Computing , Section on Statistics in Sports
Chair(s): Daniel Yang, Bureau of Labor Statistics
The Poster portions will take place during Session 213204
and Session 213205
10:35 AM
Pitch Quantification in Baseball: Reducing a Pitch to a Single Number
—
Jason Wilson, Biola University
10:40 AM
Career Type Assessment of International Cyclists on Ratings from Ranked-Order Logit Model Results for Multi-Competitor Sports
—
Kathryn McKeough ; Mark Glickman, Harvard
10:50 AM
Missing Data in the Context of Student Growth Models
—
Katherine Wright, Loyola University Chicago ; John Gatta, Northwestern University, ECRA Group ; Therese D. Pigott, Loyola University Chicago
10:55 AM
Developing Tools for Text Analysis of Survey Data
—
Randall Powers, Bureau of Labor Statistics ; Brandon Kopp, Bureau of Labor Statistics ; Wendy Martinez, Bureau of Labor Statistics
11:05 AM
Using Play-by-Play Data to Model, Simulate, and Predict NBA Games
—
Sebastian Rodriguez, University of California at Merced
11:10 AM
Improved Expected Points and Win Probability Models for NFL Coach and Player Evaluation
—
Gregory Miller, Bucknell University ; Gabrielle Flynt, Bucknell University ; Sam Ventura , Carnegie Mellon University ; Andrew Crossett, West Chester University
11:15 AM
Managerial Duration Across Professional Soccer Leagues
—
Vittorio Addona, Macalester College ; James Meyerson, Macalester College ; Zach Gilfix, Macalester College
11:20 AM
The Effect of Accounting for All Weight Adjustments in the Construction of Student Replicate Weights in a National, Cross-Sectional Study
—
Ruby Johnson, RTI International ; Peter Siegel, RTI International
11:35 AM
An Adaptive Importance Sampling Approach for Efficiently Estimating Small P-Values in Permutation Tests
—
Yang Shi, University of Michigan ; Huining Kang, University of New Mexico ; Ji-Hyun Lee, University of New Mexico ; Hui Jiang, University of Michigan
11:40 AM
Estimating Dynamic Characteristics of Longitudinal and Survival Data in Stochastic Process Models: Insights from Simulation Studies
—
Konstantin Arbeev, Duke University ; Ilya Y. Zhbannikov, Duke University ; Liubov S. Arbeeva, Duke University ; Igor Akushevich, Duke University ; Anatoliy I. Yashin, Duke University
11:45 AM
An Efficient Sampling Algorithm for Network Motif Detection
—
Yinghan Chen
11:50 AM
A Fast Two-Stage Anomaly-Detecting Method for Large Dynamic Networks
—
Huan Li, University of Alabama ; Michael D. Porter, University of Alabama
11:55 AM
Comparison of Single Event, Competing Risks, and Frailty-Based Models for Competing Risks Data
—
Yuliang Liu, University of Alabama at Birmingham ; Charity Morgan, University of Alabama at Birmingham ; Gary R. Cutter, University of Alabama at Birmingham
12:05 PM
More Efficient and Robust Permutation-Based Methods for Controlling the False Discovery Rate
—
Divya Nair ; Christopher Corcoran, Utah State University ; Pralay Senchaudhuri, Cytel ; Alexandre Buer, Cytel ; William Welbourn, Jr., Clinipace Worldwide
12:10 PM
The Elliptically Symmetric Angular Gaussian Distribution with Application to Regression Modeling on the Sphere
—
Phillip Paine, University of Nottingham
12:15 PM
The Orthogonally Partitioned EM Algorithm: Extending the EM Algorithm for Algorithmic Stability and Bias Correction Due to Imperfect Data
—
Michael Regier, West Virginia University ; Erica E. M. Moodie, McGill University
