Sentence examples for models provided adjusted from inspiring English sources

These models provided adjusted odds ratios that estimated whether, for example, studies that included larger numbers of patients were more or less likely to include age-matched samples, adjusting for disease, inclusion of animal data, category of biomarker, examination of histologic specimens, and journal.

Cox models providing adjusted HR (aHR) included age, gender, and treatment modality as covariates.

Instrumental variable models provide adjusted effect estimates at one time point and on an absolute rather than a relative scale.

When evaluating the multivariate models providing adjusted ranking of hospitals by the percentage of cardiac procedures among UHG members with any SSI indicator, we found that, in this dataset, adjusted and unadjusted results were similar in the highest quartile of SSI rates.

The model's least squares means provided adjusted net d3mfs increment per child and associated 95% confidence intervals (CIs) for intervention and control groups.

Immunohistochemical markers were included in a logistic-regression model, to provide adjusted tests of the relationship between each immunohistochemical marker and the refractory status.

There are several statistical models that can provide adjusted estimates for PR, including the logistic model, Poisson regression and log-binomial regression [ 3, 10, 16- 18].

For AR assessment, some CPGs (6 %, 3/47) recommended a similar approach in younger versus older people, whereas other CPGs (11 %, 5/47) advised to extrapolate the risk model for older people outside the target age range, either by using the upper age cut-off of the model or by providing adjusted risk scores for older people.

Multilevel linear regression models were used to provide adjusted means for outcome variables by overall quintiles of physical activity; the assumption of linearity appeared appropriate.

Finally, regression models were used to provide adjusted estimates for the three cohorts after controlling for age (at diagnosis), gender, tumour staging, treatment type, histological type and B symptoms.

A multivariable logistic regression model was used to provide adjusted mortality and readmission rates in patients after noncardiac surgery.