Sentence examples for main association between from inspiring English sources

We added each of these covariates individually to model 4 to examine their effect as potential confounders of our main association between fish intake and diabetes risk.

The medication interaction effects for HR, BAD, and FMD were insignificant, and thus the main association between TPE and the three CV outcomes did not change in significance.

Finally, a backward multivariate logistic polytomous regression was performed to verify the main association between atopic and non-atopic asthma (dependent variables) and three dimensions of CTSPC (independent variables).

We therefore stratified by BMI quartile and by decile and re-adjusted for BMI in the multivariate analysis using these categories, and did not detect any attenuation of the main association between ancestry and adjusted PMD.

The main association between Mutuelles enrolment and using medical care after adjusting for covariates was positive and statistically significant (1.758, 95% CrI 1.447 to 2.100) (model 1 in table 4).

Using a covariate adjusted multilevel random-effects logistic model, the main association between medical care utilisation and the year indicator was 1.585 955% CrI 1.272 to 1.954) (model 1 in table 4), suggesting that holding everything else constant, children in 2010 were more likely to use medical care than children in 2005.

In any case, the main associations between emergencies and practice characteristics seen in Bottle et al (2012) – patient age, ethnicity, and deprivation – are hardly amenable to change.

By plotting the first PLS components one can view main associations between X variables and Y variables and also relationships within X data and within Y data.

This paper reports the results of analysis of the main variables, i.e. injury, co-morbidity, disability and quality of life after the earthquake and their relevant determinants (e.g. socio-demographic factors), at baseline and statistical testing of main associations between injury and the degree of disability and quality of life amongst the injured and non-injured.

Applying this methodology to the data comprising of the typical pathologies present in slaughtered finishing pigs has led to an easy to interpret, highly visual, and statistically robust output: a network in which the main associations between the pathologies are easily identifiable.

Although this could affect the prevalence of pain, it is unlikely that the main associations between pain clusters and health factors would be affected; indeed, the effect may be offset by those with complete pain data being more likely to be male and younger.