Sentence examples for model variables also from inspiring English sources

Probabilistic sensitivity analysis using all model variables also demonstrated preference for the single-dose strategy.

It may be noted that the other models involving more variables also give reasonable sensitivity (around 89%), specificity (around 95%), positive predictive value (around 95%) and negative predictive value (around 89%).

We constructed a two-level (health centre and client levels) random intercept model with no explanatory variables (also known as an empty model) [ 13].

Because different methods of obtaining H7N9 information varied significantly with some of demographic variables (indicated by the chi-square test on univariate analysis; Tables  3, 4), we conducted multivariate analyses to determine which independent variables are significant in logistic regression models, with non-significant variables also entered into the models.

The economic and statistical significance of the coefficients on country dummy variables in that model suggests that noneconomic variables also play an important role in explaining differences in filing rates.

A simplified model consisting of only three variables also performed better than existing models.

The models for both independent variables also considered flood control, wealth, education, population density and the child's age as control variables.

Data generators can simply be references to a model variable, but may also be defined through complex mathematical expressions encoded using content MathML.

Second, to explicitly recognise the dependence over time in the panel data, we estimated population-averaged probit models with manually instrumented endogenous variables (also with robust standard errors).

The model-related variables have also been estimated by the proposed model relatively close to the conventional estimations, since nearly small relative errors are obtained using the ANN-based model compared to the conventional analysis techniques, as illustrated in Table 15.

The predictive ability of the single variable model also did not decrease as drastically between the training and test sets as the predictive ability of the multivariate model.