Sentence examples for models including factors from inspiring English sources

Finally, for both species multi-scale models including factors from different levels were more parsimonious than single-scale ones, i.e. habitat selection was likely a multi-scale process.

We developed sets of a priori candidate models including factors such as year, spatial location (wolves only; NR versus Interior), resident versus transient status (coyotes only), and age class (CHV and N. caninum analyses only), thought to potentially influence the probability of pathogen exposure (Table 1, Table 2).

Cox regression models including factors possibly influencing tumor-related survival and recurrence-free survival in relation to nuclear YB-1 expression were applied.

Hence, models including factors at both individual and population levels are required to estimate determinants of pollen flow patterns and male reproductive success.

Unlike published models including factors such as previous antibiotic consumption [ 11- 14, 26, 27], we have restricted predictors to a set of unequivocal variables potentially extractable from the hospital information system on the day of admission.

Independent sociodemographic, attitude and knowledge factors were included in the regression models, including factors that were considered of interest a priori; namely age and level of education (of men and their wives), number of children, and income.

In multivariable analyses, controlling for region of residence and year of SHAS interview, preliminary models included factors that were associated (p≤0.10) with nonadherence to primary PCP prophylaxis in bivariate analyses.

Covariates for all models included factors that are known to affect inflammatory status age, sex, smoking and relevant medications (cholesterol-lowering, corticosteroids, antidiabetics, antidepressants, hormone replacements and hormonal contraceptives).

The ANCOVA models included factors for the ASAS response group (i.e. < 20%; ≥20% to < 50%; ≥50% to < 70%; and ≥70%), age, sex, and the relevant baseline PRO score.

The table shows a model including factors that significantly influenced the knowledge of stroke/TIA risk factors, adjusted for age.

The QOL data over time will be analysed by means of a linear mixed effects model including factors for treatment, investigative sites, age groups, and baseline QOL scores.