Sentence examples for more model variables from inspiring English sources

Ten blood parameters showed a significant effect of one or more model variables, most prominently between the sexes.

If the number of missing cases for a given outcome (number of patients with one or more model variables missing) is larger than 5% or p of Little's test is <5% multiple imputations of the model variables (outcome plus covariates) is performed using SPSS V.17.

Next we eliminated a few more nonsignificant (in the model) variables.

In both models adjusted odds ratios (AORs), 95% confidence intervals (95%CI) and a test for the overall significance of the model variables with more than 2 levels (Type 3 analysis of effects test) were computed to assess pairwise comparisons.

Some European officials argue that Britain, which has long promoted the idea of a more variable model of European integration, with countries free to pick and choose the degree of cooperation, is now experiencing the downside.

In all models, variables representing more extreme intervention and/or removal of the victim and/or perpetrator from the home (foster care or criminal court involvement) were negatively associated with the risk of becoming a case.

To the basic statistical model, more explanatory variables potentially affecting transmission were added.

Our study also shows that even if the models with more variables explain more variation in the proportion of cesarean deliveries, at hospital level simple adjustment work as well as the complex one: hospital O/E ratios based on the most parsimonious model (model 1) correlated very well with the O/E ratios obtained using the most comprehensive set of variables (model 4).

When the full model could not be applied to a record due to missing values in one or more classification variables, models with less classification variables were used.

It is recommended that future research should extend the regression models with more theoretically relevant variables, including variables measuring hospital specific information.

Likelihood ratio test was used to assess if a model is more efficient than the other similar model with more significant variables.