Table 1.
Variables | Coefficient | SE | OR (95%CI) | ΔAICc |
---|---|---|---|---|
Model 1 = TB ~ No. of sows + Cattle | ||||
Intercept | 0.874 | 0.339 | - | - |
Cattle present | 0.701 | 0.426 | 2.02 (0.88–4.65) | 0.69 |
No. of sows | −0.006 | 0.002 | 0.994 (0.990–0.998) | 11.7 |
Model 2 = TB ~ No. of Sows | ||||
Intercept | 1.234 | 0.272 | - | - |
No. of sows | −0.007 | 0.002 | 0.993 (0.989–0.997) | 18.6 |
Model 3 = TB ~ No. of Sows + Cattle + No. of Sows × Cattle | ||||
Intercept | 0.921 | 0.357 | - | - |
Cattle present | 0.500 | 0.590 | 1.65 (0.52–5.24) | 1.2 |
No. of sows | −0.006 | 0.002 | 0.994 (0.990–0.998) | 9.9 |
No. of Sows × Cattle present | 0.003 | 0.006 | 0.994 (0.56–1.78) | −1.9 |
ΔAICc represents AICc value change when the single variable is removed from the model.