Sentence examples for explanatory set from inspiring English sources

As for the demographic factors in the formula, mortality and morbidity variables are customised by varying both the indicators and the weightings applied to those indicators according to five year age group to derive the most explanatory set of factors for each age group across all services areas [ 29].

Across many temporal and spatial scales, network neuroscience has emerged as a central focus of intellectual efforts, seeking meaningful descriptions of brain networks and explanatory sets of network features that underlie circuit function in health and dysfunction in disease.

Comparative effectiveness outcomes with pragmatic designs in naturalistic settings for schizophrenia treatments are of increasing interest to healthcare providers because outcomes of treatment (both efficacy and safety) may vary significantly when identified in an explanatory setting compared with a naturalistic pragmatic setting.

In an explanatory setting, at risk gene-phenotype combinations will be identified among a very large number of possible combinations by logic regression-based methods recently proposed [ 106, 107].

This analysis conducts the same explanatory variable set as  it used in difference GMM technique.

The explanatory variable set includes dummies corresponding to each of the primary care models as well as other variables on the level of output.

In brief, the procedure allows for the variance in the explanatory data set to be partitioned into different variable components through the use of covariables (i.e., variables whose influence is partialled out of the analysis).

Outliers were removed from all traits using SAS version 9.3 (SAS Institute 2012) following examination of the Studentized deleted residuals obtained from mixed linear models fitted for each trait with the line and field explanatory variables set as random effects (Kutner 2005).

This list of explanatory feature sets is taken to be the most parsimonious description of the many overlapping patterns detected in the original dataset.

The ordinal regression model contained four explanatory variables: setting (the key variable of interest), age group, SPH and dependency (ADL score).

Significant dates are flashed up on the set, explanatory captions supply historical context, and if the effect is to make the piece seem more of a documentary than Adams and Goodman ever intended, then it's an unfortunate necessity.