Sentence examples for multivariable prediction models from inspiring English sources
We used both conventional and novel regression techniques to develop multivariable prediction models for pulmonary tuberculosis.
We critically appraised the methodological conduct and reporting of external validation studies of multivariable prediction models.
We believe this is the first study that has systematically appraised the methodological conduct and reporting of studies evaluating the performance of multivariable prediction models (diagnostic and prognostic).
The TRIPOD Statement is a checklist of 22 items that we consider essential for good reporting of studies developing or validating multivariable prediction models (Table 1).
Existing approaches based on multivariable prediction models have recently been derived that indicate improved performance over single symptoms can be achieved (Hamilton, 2009a; Marshall et al, 2012).
Other reporting guidelines target more specific forms of tests, such as Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) for multivariable prediction models.
Whereas an abnormal exercise electrocardiography had limited predictive value in the multivariable prediction model (web appendix table 5), the coronary calcium score was a major predictor, which increased the c statistic from 0.79 to 0.88 (table 2).
To investigate the ability of our variables to jointly predict onset of MOH, we considered a multivariable prediction model obtained by least absolute shrinkage and selection operator (LASSO) regression.
The GBM modeling approach is a machine learning technique for building a multivariable prediction model by incorporating all of the variables without variable selection.
We determined selection of risk factors for inclusion in the final multivariable prediction model by backwards selection, excluding variables that had P>0.1 in the multivariate model.
Besides univariable analyses, a multivariable prediction model will be built, ultimately leading to a risk score definition for predicting the risk for developing GDM.
