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The total amount of variance explained by all the independent variables in the regression models was computed.
To test the hypothesis of the invariance of the factor structure across countries, the difference between the CFI (ΔCFI) of the free and restricted models was computed, as suggested by Cheung and Rensvold (2002), adopting a cutoff value of.01 to accept the possibility of invariance.
The predictive ability of the models was computed as a Pearson correlation between predicted and observed values.
Second, for each Cα atom, its average position among all NMR models was found, and the average of distances squared from this position to equivalent Cα atoms in NMR models was computed.
The PCV between two models was computed as follows: PCV=((VA− VB)/ VA × 100), where VA was the variance of the initial model and VB the variance of the model containing additional variables.
The calibration of models was computed using the Hosmer-Lemeshow (HL) test, which is a single summary measure of the calibration and is based on comparing the observed and estimated prevalence of disease grouped by estimated prevalence [ 16].
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The different models were computed with Modeller version 9.8 [ 32].
Two source models are computed.
The expected number of transmissions for both the models were computed.
Another set of field models are computed by individual dedicated chains.
Models were computed using a sliding window which included 3 years of CHAMP data.
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