Sentence examples for models for demographic from inspiring English sources

We calculated partial correlation Pearson coefficients in models for demographic factors and COMT methylation.

The mismatch distribution analysis suggested population expansion models for demographic histories of M. s. schreibersii and M. s. pallidus.

Results FHP coverage was negatively associated with mortality rates from cerebrovascular and heart diseases (ambulatory care-sensitive conditions) in both unadjusted and adjusted models for demographic, social, and economic confounders.

Models for demographic and anthropometric baseline variables were unadjusted, and models for anthropometric end-of-study variables were adjusted only for their baseline value (e.g. models for end of study BMI percentile contained the baseline BMI percentile as a covariate).

In both the unadjusted model and adjusted models for demographic factors and cardiovascular risk factors, an elevated serum hs-TnI level in patients with T2DM was predictive of MACE, heart failure and cardiovascular mortality.

We then adjusted each of the SES models for demographic and clinical characteristics: medical history of prior stroke or transient ischemic attack, diabetes mellitus, hypertension, and smoking, treatment with tPA, stroke severity (NIHSS), and ability to ambulate at discharge (step 3).

We used regression models that allowed for correlations within work units and care homes and adjusted these models for demographics, job characteristics and stressful life events.

Unadjusted and models adjusted for demographic and socioeconomic indicators are presented for all logistic regression models.

No consistent pattern was seen for either adjusted or unadjusted models or with a model adjusting for demographic characteristics alone (data not shown).

We evaluated the cross‐sectional association between multiple measures of smoking behavior and the inflammatory biomarkers, GlycA and high‐sensitivity C‐reactive protein, using regression models adjusted for demographic, anthropometric, and clinical characteristics.

Findings were unchanged in multivariable models controlling for demographic factors.