Identifying the Factors Affecting the Survival of Trauma Patients Using Logistic Regression Analysis
Date on Honors Thesis
Spring 4-16-2025
Major
Mathematics
Minor
Applied Statistics
Examining Committee Member
Dr. Manoj Pathak
Examining Committee Member
Dr. Emily Dautenhahn
Examining Committee Member
Dr. Md Mahadi Hasan
Abstract/Description
There is a broad interest among researchers and clinicians in identifying factors affecting clinical outcomes of patients with physical trauma. Numerous factors affect Hospital Discharge Status (HDS), one of the main binary outcome variables of trauma patients. Logistic regression is one of the widely used methods to analyze relationships between a set of predictors with a binary outcome. In this study, a logistic regression model is built for HDS. Predictors include arrival time, age, trauma level, injury severity score, arrival heart rate, arrival blood pressure, length of hospital stay, time from injury to arrival at Billings Clinic (BC), patient transfer or direct admittance, mode of transfer, time from injury to the referral hospital, distance from injury to tertiary facility, the season, and injury severity score as a categorical variable. The goal of this retrospective observational study is to assess the association between the predictors and HDS in order to evaluate the odds of survival corresponding to the predictor.
Recommended Citation
Smith, Maggie, "Identifying the Factors Affecting the Survival of Trauma Patients Using Logistic Regression Analysis" (2025). Honors College Theses. 256.
https://digitalcommons.murraystate.edu/honorstheses/256