Sentence examples for multivariate models so from inspiring English sources

Parameter estimates changed by <10% when controlling for the Charlson index in multivariate models, so it was excluded from additional analyses.

Moreover, when we adjusted for RIFLE criteria, an increase of our estimations occurred in the multivariate model; so misclassification of this covariate would most likely bias the odds ratios toward the null value.

Airway symptoms and bleeding diathesis are frequent in hantavirus-infected patients so these symptoms were evaluated in the same multivariate model as the disease severity classification.

While there did appear to be a general increase in the planned use of adjuvant RT with decreasing excision margin width for tumours where the excision margins were greater than 1 mm, this factor was not significant in the multivariate modelling and so did not independently predict whether adjuvant RT was planned.

To do so, FoF and driving were each separately added to the multivariate models to determine if the association between VF loss or CS and MVPA was attenuated in these extended models (Tables  2 and 3 Models 2 and 3).

After that, we compared the multivariate models (with two, three, four and five remaining variables, respectively) on the global score χ statistic (so-called best subset selection) and on Akaike's information criterion (AIC) to decide on our final multivariate model.

We undertook multivariate models for overall survival including ECOG performance status and presence of visceral metastases as separate factors (and so omitting the Bajorin index).

Correlations were calculated with Spearman rank R. The remaining factors (P < 0.05) in the univariate analysis were entered into a multivariate linear regression model, so multivariate analysis were secondly performed to analyze significant determinants associated with SQOL disturbance using the SQOL score as dependent factors.

Thereafter, we performed a logistic regression to determine predictive factors for enthesitis in AS patients; firstly univariate logistic regression were done, and the remaining factors (P < 0.05) were entered into a final global multivariate logistic regression model, so multivariate analysis were secondly performed.

The number of individuals in the study did not allow for full multivariate models including all independent variables, so it was decided to introduce the variables in separate analyses, controlling for age, sex and baseline value of the SF-36 subscales.

In the case of sepsis, the variable "state" modified most bivariate measured associations, so we developed a separate multivariate model for Bauchi and Cross River.