Sentence examples for multivariable regression modelling from inspiring English sources

Statistical associations between individual characteristics and UKLS uptake were examined using multivariable regression modelling.

Multivariable regression modelling using fractional polynomials confirmed linear associations between exposure variables and OS.

Regression estimates were adjusted for the potential confounding effect of the prenatal variables as well as child factors listed above using multivariable regression modelling.

Multivariable regression modelling identified a number of variables associated with ownership of different pets and the strength of attachment to the child's favourite pet.

However this date must be interpreted with caution since this is an observational study; in another recent study [ 8], surgery during episode of IE either was associated with better prognosis when this variable was analysed in a multivariable regression modelling.

Using multivariable regression modelling for the entire time series, we estimated the multiplication factor for the overall under-reporting to be 1.51 (95% confidence interval (CI) 1.17-1.96) for the ten-week period.

A second multivariable regression modeled the relationship between time to death or loss to follow-up and the same predictors.

When significant the variables were considered for multivariable regression modeling.

Multivariable regression models were used.

Table S5 Odds ratios for multivariable regression model 1 covariates.

Odds ratios for multivariable regression model 2 covariates.