Day 1, April 14 - Posters
Title
Modeling recurrent injury events in athletic population
Start Date
14-4-2020 9:00 AM
End Date
14-4-2020 11:00 AM
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
Musculoskeletal injuries are prevalent in athletics. Over the past several decades there has been increased participation in sports. In this study, we will propose a statistical model to predict the risk of injury of individual athletes.
Date
April 2020
Document Type
posters
Language
English
Rights
http://rightsstatement.org/vocab/InC/1.0/
Recommended Citation
Gao, Lani; Tweedy, Kelsey; Smithson, Jenni; Tompkins, Chris; and Calkins, Andrew, "Modeling recurrent injury events in athletic population". ReSEARCH Dialogues Conference proceedings. https://scholar.utc.edu/research-dialogues/2020/day1_posters/133.
Modeling recurrent injury events in athletic population
Musculoskeletal injuries are prevalent in athletics. Over the past several decades there has been increased participation in sports. In this study, we will propose a statistical model to predict the risk of injury of individual athletes.