Sentence examples for moreover when the model from inspiring English sources

Moreover, when the model parameters are unknown, they can be estimated, thanks to some algorithms such as Expectation Maximization (EM) [10] and Iterative Conditional Estimation (ICE) [11].

Moreover, when the model for the 4-category option was adjusted, however, non-statistical differences were found between the estimated parameters for the (24,30] and > 30 categories (p = 0.074).

Moreover, when the model combines molecular and clinical features, no improvement over the clinical model was observed (AUC = 0.75; 95% CI = [0.71,0.79]) for the classifier comprising Age, Gleason score and 12 genes.

Moreover, when the model was repeated after excluding early deaths and discharges (<20 hours) and with paracetamol at a time-dependent variable and fever also as a time-dependent variable, the findings did not materially change (Additional file 1: Table E5).

Moreover, when the two models were overlaid, the orientation of erlotinib and the conformation of its binding site were very similar in active (cyan) and inactive (yellow) EGFR-TKD models.

Moreover, when the second mathematical model is considered, as outlined in Table 4, averted cases of HIV account for a substantial difference between the economic evaluation of SIFs – especially in terms of the cumulative versus the marginal estimates.

Moreover, when the three variables were analyzed together (Model 6), only toothbrushing frequency retained statistical significance.> -wrap-foot> *Significancevaluateded by Multiple Poisson regression.

Moreover, when the number of working hours was removed for model B, another variable representing close contact with animals (stable management) was retained by the backward procedure.

Moreover, when these models (chronic CCl4 administration, bile duct ligation) are discontinued, an almost complete reversion even from cirrhosis is detected; a scenario that can hardly apply to human cirrhosis.

Moreover, when modeling the data under the assumption of common shape, there was in general a lack of dose additivity for the mixture.

Moreover, when comparing the posterior model predictions with the prior model (blue square points), significant improvements are observed in the posterior predictions.