Sentence examples for baseline variables were considered from inspiring English sources

Baseline variables were considered for inclusion in multivariate models if they were associated with time to conversion in a univariate analysis (p<0.15).

Significant differences in baseline variables were considered to be potential confounders.

Demographic, mental health and stressor baseline variables were considered for inclusion as model covariates if there was theoretical basis or prior evidence for association with study group and the outcome of interest.

Thereafter, each baseline variable was considered separately in multivariable models.

In other words, a baseline variable was considered a predictor of decline rate in FVC if the interaction term between the variable and the follow-up time was significant with regard to serial measurements of percentage predicted FVC.

Both baseline and time-dependent variables were considered.

The intervention level (yes/no) and the baseline values of the outcome variables were considered as independent variables, so that scores at 12 months follow-up were corrected for baseline.

When all variables were considered simultaneously, only baseline symptom severity predicted clinical outcome at one-year follow-up in respondents with an anxiety disorder (β =.54, SE =.04, p <.001).

When all variables were considered at the same time, only baseline symptom severity appeared to predict a poorer outcome in anxiety.

Variables were considered normalised when no statistical difference compared with baseline prior to PLE installation was found.

In addition, variables were considered as possible confounding factors if they differed at baseline between the treatment groups (P<0.15), and were related to HR-QOL.