Sentence examples for multivariable analyses allowed from inspiring English sources

Fifth, multivariable analyses allowed for adjustment of several covariates.

The multivariable analyses allowed us to determine whether associations identified in the univariable analyses were retained after controlling for the sociodemographic and risk factor variables.

These multivariable analyses allowed us to identify some significant differences in perceptions and advice according to gender, location of medical graduation, number of years in practice, confidence about vitamin D knowledge, residence in a city with a medical school and information sources read.

The univariate and multivariable analyses allow the identification of patients who are at differing risks of recurrence and hence those who might be at high or low risk of recurrence at specific time points after a first seizure.

While randomized controlled trials such as the SAFE study provide strong evidence for or against an intervention, epidemiological studies allowing for multivariable analyses can provide useful additional information on the current use of albumin and on associated outcomes.

Additionally, the relatively low number of patients does not allow multivariable analyses.

For missing data at the study level (i.e. information not documented in a study), we will also consider imputation to allow multivariable analyses on the most complete dataset, although the added value of such major imputation efforts may be limited and will be explored in the perspective of IPD meta-analysis [ 50].

The low incidence of grade IV hepatotoxicity events did not allow us to perform multivariable analyses.

All multivariable analyses will be performed using the MIXED procedure in SAS, as this procedure allows for missing data.

The use of factor analysis allowed us to include the key features of movement patterns re-expressed as factor variables in the multivariable analyses.

Bivariate and multivariable analyses were performed on these variables to identify independent predictors of failure.