We began by fitting a multivariable model including the sociodemographic variables alone, testing for evidence of important interactions.
The risk of stem revision for any reason within the first 6 months was investigated separately by fitting a multivariable model based on the covariates HA coating, age, and sex, stratified by diagnosis and stem brand.
By using a multivariable model with an interaction term, we were able to estimate the effect of residing in a Q fever-affected area in 2008 2010, and not the already existing differences before the outbreak.
A logistic regression model showed that GLPS >−15 gave a hazards ratio for death at 90 days of 2.5, but the result was not statistically significant (95% CI 0.66, 9.46), and no predictive value was gained by using a multivariable model with LVEF, é and NT-proBNP in addition to global strain.
Second, by using a multivariable model with an interaction term, we were able to compare pregnancy outcomes in Q fever areas in 2008 2010 with both the outcomes of the areas without Q fever in 2008 2010 and the outcomes in the period before the Q fever outbreak (in areas with and without Q fever).
C-reactive protein could meet the criteria that the predictive accuracy expressed by the c-index was improved by adding CRP to a multivariable model for advanced UC.
The most common method (category C) is screening of variables based on the statistical significance of bivariate associations, followed by variable selection in a multivariable model using either stepwise algorithms or significance testing of the individual regression coefficients.
Sick leave during this period was predicted in a multivariable model by a longer duration of sick leave prior to consultation, more shoulder pain, a perceived cause of strain or overuse during regular activities, and co-existing psychological complaints.
This does not mean that the FI is meant to be a 'mortality prediction' instrument; rather, by including the FI in a multivariable model including age, the FI score aims to explain the variable vulnerability to adverse health outcomes in people of the same age.
Variables with p<0.10 by univariate analysis were entered in a multivariable model.
