Sentence examples for morbidity analyses were from inspiring English sources

Therefore, morbidity analyses were done for the population aged 60 and above for the three data points.

Prolonged exposure to methotrexate (HR 0.85; 95% CI 0.81 to 0.89), leflunomide (HR 0.59; 95% CI 0.43 to 0.79), sulfasalazine (HR 0.92; 95% CI 0.87 to 0.98), glucocorticoids (HR 0.95; 95% CI 0.92 to 0.98), and biologic agents (HR 0.42; 95% CI 0.21 to 0.81; P < 0.05) was associated with a reduction of the risk of CV morbidity; analyses were adjusted for traditional risk factors and countries.

Finally, the presence of co-morbidity complicates the question how a specific condition is related to outcome variables such as affect or QOL, and our co-morbidity analyses were performed on a simple count of illnesses rather than on specific disease combinations.

Similar relationships to the first set of analyses were observed between morbidity load and standardised mortality rate: negative for ML tot and positive for ML9.

Preoperative and intraoperative parameters were correlated with morbidity measures, and univariate and multivariate regression analyses were used.

Multivariable- linear (for morbidity scores) and logistic (for mortality) regression analyses were performed.

No subgroup analyses were possible for neonatal morbidity according to these criteria.

All statistical analyses were adjusted for somatic co-morbidity.

Univariate and multivariate analyses were performed to identify variables associated with major morbidity.

These analyses were conducted for all types of co-morbidity, irrespective of number of studies.

Further post hoc analyses were done on the effects of psychiatric co-morbidities on study results.