Sentence examples for explanatory impact from inspiring English sources

Exact(1)

Based on the multiple regression models, areas under ROC curves for the prediction of NYHA classes III IV and explained variances (R) for the prediction of the SF-36 physical functioning scale were computed to illustrate the explanatory impact of comorbidities on top of sociodemography and echocardiographic parameters.

Similar(59)

The calculation resulted in a requirement of at least 126 paired measurements (nQuery Advisor v6.0; Statistical Solutions Ltd., Cork, Ireland), but this number was brought to 200, in order to allow analysis of the explanatory variables impacting the disparity in radiation incurred by the two phalanges.

This study synthesizes structuralist and constructivist perspectives by investigating how structural processes impact explanatory models of Chagas disease in a highly endemic area.

Table 4 shows the estimates of incident rate ratios (IRRs) in the presented negative binomial model, including 95% CIs and p values for all explanatory variables; the impact of a one unit increase in each explanatory variable is also included to aid the interpretation of IRRs.

Then, a two-level hierarchical model was built to adjust also for impacts at later months of the trial using 0-3 or 0-6 months' impacts as explanatory variables, the number of impacts at 3-12 morths or 6-12 months being entered into the model in the second hierarchical block.

Logistic regression analyses (ordered and binary) were applied to identify explanatory variables that impacted priority setting.

Once the distribution has been validated, the impact of explanatory variables on survival is introduced by means of Cox's proportional hazard model.

We develop explanatory scenarios investigating the impact of different assumptions of eggshell thinning on skylark population size, density and distribution in 10 Danish landscapes, chosen to represent the range of typical Danish agricultural conditions.

This includes the impact of explanatory variables on various outcome measures of interest.

Moreover, the evaluator is required to look 'behind' a programme's operations to identify explanatory accounts of its impact.

Only one principal component, PC I, which consists of all three explanatory variables, shows an impact on GC*CpG.

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