Sentence examples for multivariate analyses where from inspiring English sources

Potential confounding was addressed by performing multivariate analyses where characteristics found to be statistically significant in univariate analyses were entered into a multivariate logistic regression model to identify independent clinical predictors, with non-significant terms in the multivariate analysis dropped one at a time starting with the highest p-value.

Again, patients were excluded from the univariate and multivariate analyses where data on these variables were not available.

First, obesity is a well-established risk factor for T2D and should be included in multivariate analyses where T2D is the dependent variable.

All quantitative data were summarized using descriptive, univariate and multivariate analyses (where appropriate) using Amos 20.0 (SPSS, Chicago, IL, US) software.

Expression of LRIG1 was shown to be an independent marker for better patient survival in multivariate analyses where other known risk factors, such as patient age, tumour stage, and HPV status, were included.

21 Finally, because of the format of the data, it was not possible to assess the independent contribution of each of the predictors we identified, but we include results of multivariate analyses where reported.

Results of nine multivariate, linear regression analyses, where persons working in each practice area were compared with persons not working in this area.

Moreover, in order to identify the predictors of the mental health, as measured by the K6, we carried out a multivariate logistic regression analyses, where clinically relevant factors were included in the model.

Finally, to adjust for the potentially confounding effect of age, gender, and axial length, we carried out multivariate linear regression analyses, where the regression coefficient was reported along with the 95% confidence interval (CI).

For the multivariate analyses, age and gender (where appropriate) was included in all models a priori.

Additionally, multivariate analysis may not have been adequate, or in studies where extensive multivariate analyses was carried out, the possibility remains that survival benefit is influenced by additional confounding factors.