The discrete models are studied by means of suitably tailored numerical codes designed to avoid numerical instabilities and locking and a comparison of discrete versus continuum models is attempted.
Models were attempted which used the eigenvalue >1 as one selection criteria.
Two models were attempted; the first included a fixed treatment effect and allowed the effect of the study to vary randomly.
Prospectively validated SMART predictions of shock, organ failure, and 28-day survival from baseline plus serial input of independent variables are listed in Table 4. Eighty-one models were attempted; 74 were successfully validated.
Prospectively validated SMART predictions from baseline data of the dichotomous dependent variables chest radiography score, ARDS, DIC, hepatobiliary failure, renal insufficiency, shock, and cerebral dysfunction are shown in Table 3. Ninety different predictive models were attempted; data were sufficient for building 65 successfully.
Note that alternative versions of the models were attempted using an age-squared term and also exploring interactions between OHIP items, but as they did not substantially alter pseudo R-squared values or forecast errors, the results for these additional models are not presented.
To determine the impact of vitamin D status on metabolic variables, different models were attempted and the following covariates of interest, as well as their interaction, were used if not mutually excluded by the collinearity test: age, gender, BMI, percent fat body mass, fat body mass in weight, lean body mass in weight, and WHR.
Estimation of such a model was attempted, however, convergence seemed impossible.
Inverse tsunami modeling was attempted, based on these newly discovered tsunamigenic deposits.
The modelling was attempted with Finite Difference analysis and validated with the results available in literature.
