Sentence examples for multivariate framework controlling from inspiring English sources

We examined the excess risk of chronic physical conditions associated with depression and/or anxiety within a multivariate framework controlling for demographic and modifiable lifestyle risk factors.

Complementary log-log regressions were used to examine the excess risk associated with depression and/or anxiety for chronic physical conditions using a multivariate framework that controlled for demographic (gender, age, race/ethnicity) and modifiable lifestyle (obesity, lack of physical activity, smoking) risk factors.

Given the nature of claims-data research, information on baseline clinical severity of the patients was not readily ascertainable; however, proxies for disease severity based on available data were created and used in a multivariate framework to control for mitigating circumstances surrounding MDD and other comorbidities.

The primary purpose of our study was to examine excess risk of a diverse set of chronic physical conditions associated with depression and/or anxiety in a non-elderly adult population within a multivariate framework that controlled for demographic and modifiable lifestyle risk factors.

Template engines render data models delivered by transport objects controlled by framework controllers controlling view controllers.

Our results provide a novel multivariate framework to describe where we currently see wildfire across the planet.

In the next section, our aim is to verify whether these associations still hold when controlling for other demographic and socio-economic confounders in a multivariate framework.

This multivariate framework is discussed, paying particular attention to methods of inference by permutation.

We then look at differences in access to homeownership by gender and living arrangements in a multivariate framework.

Intuitively this makes sense as in the multivariate framework less observations are taking into account for the estimation.

We achieve this insight by extending a univariate approach, linking trait variation to individual contributions to population growth [13] into a multivariate framework.