Table 3.
Step | Procedure |
---|---|
1. Original model vs refitting | H0: both models have the same fit, log L
original = log L
refitted. Test: likelihood ratio test with (q + 1) × (k − 1)df. Result: if H0 not rejected, choose the original model, else go to step 2. |
2. Intercept recalibration vs refitting | H0: both models have the same fit, log L
int recal = log L
refitted. Test: likelihood ratio test with q × (k − 1)df. Result: if H0 not rejected, choose intercept recalibration, else go to step 3. |
3. Logistic recalibration vs refitting | H0: both models have the same fit, log L
logrecal = log L
refitted. Test: likelihood ratio test with (q − k + 1) × (k − 1)df. Result: if H0 not rejected, choose logistic recalibration, else choose refitting. |
Each test is performed at the prespecified overall alpha level
H0 null hypothesis, L likelihood, df degrees of freedom