Sentence examples for multivariate analyses so from inspiring English sources

To facilitate interpretation, the continuous scale was reversed in multivariate analyses so that a higher score indicated lower support.

Because first breeding at an early age necessarily has a positive direct effect on fitness, AFR was multiplied by −1 in all multivariate analyses so that trade-offs would be represented by negative covariances and correlations.

Since the aim of this study was descriptive, we did not make large multivariate analyses; so it would have been difficult to interpret the higher incident of MetS in women.

Osteopontin expression level was significantly correlated with overall and disease-free survival, both in univariate and in multivariate analyses; so, a high value of OPN expression is seen to be unfavourable both to survival (risk ratio 1.88 : 1) and relapse (risk ratio 2.08 : 1).

In addition, as explained by Efficace et al. [ 58], such findings might arise because quality of life measures in effect mask each other in multivariate analyses, so making variables such as appetite loss or pain or fatigue appear to be the most important or strongest predictors of survival time.

This association dominated both the univariate and multivariate analyses, so in order to determine whether any other factors were contributing to the variance, we performed a second logistic regression excluding the style of clinical decision-making respondents perceived themselves as practicing (Table 4).

Finally, one sample in the 480 mg/kg dose group had a very high xanthine concentration (more than 20 times higher than the average for all other worms), which had high leverage in multivariate analyses, and so this one data point (not the whole sample) was treated as a missing value.

This study had the advantage of a substantial sample and so although it was not entirely representative of the general population, groups were large enough so that multivariate analyses could be used to establish whether the demographic variables exerted independent effects.

So far, multivariate analyses, and in particular clustering analysis, have been mainly used in neurophysiology to classify and distinguish mature neuronal populations (Ascoli et al., 2008; Karagiannis et al., 2009; McGarry et al., 2010; Laramee et al., 2013; Simonnet et al., 2013).

Some missing values occurred for two study animals, so that all multivariate analyses and some analyses for individual TLR responses are based on N = 98 or 99.

All selected covariates were significantly associated with one or more of the outcomes, so all were later included in multivariate analyses.