For the zero outcome of the model: | |||||||
Zero-inflated model or logit(Pi)=(−1.25∗match−0.76∗in-season injury) | |||||||
Name of predictor | Estimated coefficient | SD | Calculated value | P value | OR | 2.5% | 97.5% |
Match | −1.25 | 0.35 | −3.62 | <0.001*** | 0.287 | 0.146 | 0.5639 |
In-season injury | −0.76 | 0.13 | −5.63 | <0.001*** | 0.4694 | 0.3608 | 0.6106 |
Significance codes: *p<0.05, **p<0.01, ***p<0.001.
Predictors with negative coefficients were identified as being negatively related with the zero outcome, ie, for a one-unit increase in the identified variable, the likelihood of not getting an injury decreases by the respective value, assuming all other variables are constant.