Table 5. Comparison of the Akaike information criterions (AIC) and the Akaike weights between the different models of Cryptosporidium parvum infection in calves.
| Model | Variables included | AIC | DAIC2 | Akaike weight |
|---|---|---|---|---|
| Hierarchical1 | Final fitted model | 245.4 | 0 | 0.586 |
| Diarrheal=Yes | ||||
| Rearing enclosure=Positive | ||||
| Yard=Provided | ||||
| Hierarchical | Reduced model | 247.5 | 2.1 | 0.205 |
| Diarrheal=Yes | ||||
| Rearing enclosure=Positive | ||||
| Hierarchical | Full model | 245.7 | 0.3 | 0.504 |
| Diarrheal=Yes | ||||
| Rearing enclosure=Positive | ||||
| BirthF-Clean=2 | ||||
| Yard=Yes | ||||
| Hierarchical | Null model | 253.1 | 7.7 | 0.012 |
| Logistic regression | Null model | 263.6 | 18.2 | <0.001 |
1 Hierarchical logistic regression. 2 DAIC, difference in AIC value from final fitted model.