From: Core strength: A new model for injury prediction and prevention
Simple Logistic Regression | |||||
---|---|---|---|---|---|
Outcome = Overall Score Failure (≤ 16) | |||||
Model | Variable | Count | OR | P > |Z| | 95% CI |
1 | Male | 408 | referent | -- | -- |
2 | Age | 433 | 1.09 | 0.001 | (1.06,1.12) |
3 | Rank | 433 | 1.07 | 0.001 | (1.04,1.11) |
4 | Tenure | 433 | 1.07 | 0.001 | (1.04,1.10) |
5 | No Injuries | 315 | referent | -- | -- |
 | Any Injuries | 118 | 1.43 | 0.115 | (0.92,2.24) |
6 | # Injuries | 433 | 1.22 | 0.093 | (0.97,1.54) |
7 | No Time Lost | 379 | referent | -- | -- |
 | Injured & Lost Time | 54 | 1.66 | 0.090 | (0.92,2.98) |
Multiple Logistic Regression | |||||
Outcome = Overall Score Failure (≤ 16) | |||||
Significant Models Only | |||||
Model | Variable | OR | P > |Z| | 95% CI | LROC |
1 | Age | 1.09 | 0.001 | (1.06, 1.12) | Â |
 | Any Injuries | 1.68 | 0.033 | (1.04, 2.71) | 0.703 |
2 | Age | 1.09 | 0.001 | (1.06, 1.12) | Â |
 | # Injuries | 1.29 | 0.044 | (1.01, 1.66) | 0.702 |
3 | Age | 1.09 | 0.001 | (1.06, 1.12) | Â |
 | Injured & Lost Time | 1.85 | 0.054 | (0.99, 3.44) | 0.702 |