A framework entitled the Integrated Parameter Estimation and Uncertainty Analysis Tool (IPEAT), was developed utilizing Bayesian inferences, an input error model and modified goodness-of-fit statistics to incorporate uncertainty in parameter, model structure, input data, and calibration/validation data in watershed modeling.
To assess performance of the readmission models, c-statistics assessing predictive accuracy and modified Hosmer Lemeshow goodness-of-fit tests 40, 41 were estimated, using the full dataset (Table 2).
(iii) a modified Hosmer-Lemeshow goodness-of-fit (F) test [ 50, 64], regressing the particular model residual distribution against deciles of the linear predictor (using OLS with robust variance).
We calculated goodness-of fit by using a modified version of the Hosmer-Lemeshow test (26 ).
It is a goodness of fit test and also called modified Chi-squared test.
Goodness of fit was determined using the modified Park test (for the GLM family) and the Pearson correlation test, the Pregibon link test, and the modified Hosmer and Lemeshow test (for the GLM link) [ 30].
The deviation of ftot from 1 is an indicator of goodness of our assumption that the grain size distribution is modified by the three processes.
The AUC for the automatically calculated modified APACHE II score was 0.790 955% CI 0.712 to 0.825) and a goodness-of-fit test showed good calibration.
Models with modest data fit were modified by allowing correlation of error terms with the largest modification indices (>10) to improve goodness of fit statistics.
Spatial autocorrelation did modify model rankings and goodness-of-fit slightly (Tables 1 and S6, S7 and S8); even though the BIC evidence ratio indicated that the top-ranked model without spatial autocorrelation was nearly 14 times better supported than when it included spatial autocorrelation.
We tested reliability with Cronbach's alpha coefficients and performed confirmatory factor analysis to examine factor loadings and goodness of fit characteristics, modifying constructs to achieve best fit.
