Table 4 Parameter estimates, standard error (SE), P-values, Akaike Information Criteria (AIC) for univariable logistic regression models assessing the associations between high lameness prevalence and four indicators at predefined and optimized cut-offs
Indicator | Cut-off | Estimate | SE | P | AIC |
|---|---|---|---|---|---|
Mortality | Predefined | −0.29 | 0.75 | 0.7 | 48.84 |
Optimized | −19.1 | 2874.13 | 0.99 | 38.65 | |
BMSCC | Predefined | −0.78 | 0.78 | 0.31 | 47.99 |
Optimized | −1.54 | 0.79 | 0.05* | 44.85 | |
Lean cows | Predefined | 0.13 | 0.73 | 0.86 | 48.95 |
Optimized | −0.81 | 1.14 | 0.48 | 48.42 | |
SD age at 1st calving | Predefined | 0.31 × 10−17 | 0.0074 | 1.00 | 48.99 |
Optimized | −0.2 | 0.9 | 0.83 | 48.94 |