Sentence examples for multivariate analyses then from inspiring English sources

We selected the most significant metabolites identified in the multivariate analyses, then deconvolved and relatively quantified them.

Multivariate analyses were then performed using the variables from the univariate analysis with a P-value < 0.1 as covariates.

Multivariate analyses were then conducted, based on logistic regression models after combining the French and Italian samples.

Multivariate analyses were then performed using genetic polymorphisms as independent variables and all the significant variables in univariate analyses as covariables.

Multivariate analyses were then conducted separately for each of the 3 models to adjust for the influence of the other variables within the same model.

Multivariate analyses were then undertaken using a negative binomial regression to model the number of cases diagnosed in each month (outcome).

Disease-free survival (DFS) was evaluated in all and univariate and multivariate analyses were then performed to reveal risk factors for DFS.

Secondary multivariate analyses were then undertaken to further explore several effects highlighted in the univariate analyses, in particular to assess independence of specific noteworthy factors having a univariate p < 0.05.

Symptoms showing a significant relationship with the QoL-AD in these multivariate analyses were then included in analyses relating to 'caregiver ratings of the person with dementia' (severity) and 'caregiver self-ratings' (distress).

Multivariate analyses were then performed to model the concurrent effects of potentially influential factors (age, sex, CCI, hospital volume, and physician/nurse staffing) on the outcomes using multi-level logistic regression analyses.

Multivariate analyses were then conducted to identify the independent prognostic association of each of these variables and to estimate the effects of these variables on overall and progression-free survival endpoints.