Sentence examples for identified explanatory from inspiring English sources
Applying a generalized ordered probit model to German panel data, they control for observed heterogeneity in the categorical health variable allowing the thresholds to depend on ex-ante identified explanatory variables.
We used forward step wise method and identified explanatory candidate variables (p ≤ 0.1) for inclusion in adjusted models as plausible predictors of treatment failure.
All of the instruments of the primary analyses identified explanatory variables for the logistic regression model for secondary analyses (Table 1).
Multivariable logistic regression modelling with backward removal of variables identified explanatory variables (i.e., socio-demographic, clinical and work status variables outlines above) that were significantly associated with work participation in the cancer and general population groups.
Multivariate methods were used to determine the relative importance of identified explanatory variables in affecting major indicators for gender gap such as education and employment taken as dependent variables.
Results show that penalized methods outperform single marker analysis, with the main difference being that penalized methods allow the simultaneous inclusion of a number of markers, and generally do not allow correlated variables to enter the model, producing a sparse model in which most of the identified explanatory markers are accounted for.
Further work to identify explanatory factors is of particular interest.
One challenge was to identify explanatory variables from geometrical key characteristics and data characterizing the preparation processes.
Continued empirical investigation of variables that potentiate or mitigate the association between family-of-origin violence and marital violence at different developmental stages is needed to identify explanatory mechanisms and, ultimately, to interrupt the intergenerational transmission of marital violence.
Their main purpose consists firstly to identify explanatory variables of default and to estimate their contribution, estimating the coefficients that make it possible to accurately classify a set of firms in two a priori defined categories.
We used multiple ordinal logistic regression analyses to predict categories of SES and identify explanatory genetic and geographic variables.
