Sentence examples for mix demographic from inspiring English sources

Interestingly, our experience confirms what a Federal Reserve Bank of Boston report concluded in 2009 about the key to rejuvenating cities: "Industry mix, demographic makeup, and geographic location made less difference to [successful rejuvenation of a city] than the presence of a community leader and collaboration around a vision for the future".

However, the studies reporting on the rates of PTSD and PTSD symptoms in ICU survivors vary considerably in their case mix, demographic variables, and method and timing of PTSD assessment [ 12, 13].

CMP data collection covers the first 24-hour case mix (demographics, past medical history, surgical status, acute severity of illness and reason for admission) and outcomes (critical care unit and acute hospital discharge status).

In this second model, the primary interest is in detecting whether the severity of stroke (GCS or NIHSS) predicts if a patient is admitted to SU or GMW, after controlling for other observable characteristics of the patients (case-mix, demographic variables, and other pre-stroke conditions).

The single "Pork and Beans" mixes demographic-warping references (Timbaland, Oakley shades, Rogaine) with a defiant chorus: "I'm a do the things that I want to do/I ain't got a thing to prove to you".

He seems to be asking himself, By what unholy mix of demographic calculation and liberal-wish projection have I ended up wedged in the front seat of a little car between these two pinkish fellows?

He would most likely see a group of 12 and 13-year-olds, from a mix of demographic backgrounds, intelligently and incisively discussing the language of racism in the early 17th Century.

Finally, the optimum mix of demographic variables from viewpoint of HSEE and ISO are identified.

This is the first study that proposes a flexible intelligent algorithm for assessment of optimum mix of demographic features for HSEE and ISO systems in a complex system such as a gas transmission refinery.

The final multivariable model for predictors of DDT levels among women in non-DDT IRS households included a mix of demographic, dietary, and IRS-related variables, and no single variable stood out above the rest in terms of variance explained.

The lowest usage wards were then explored using population segmentation (Mosaic) which provided detailed information that defined the population subgroups by a mix of demographic, cultural, behavioural, psychosocial, geographic factors [ 42] (Table  1).