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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

From: Evaluation of the performance of register data as indicators for dairy herds with high lameness prevalence

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