It was possible, using Cox models, to correct for the waiting-time bias, but the strong protective effect of termination of hospitalization on the risk for infection remained difficult to interpret.

Marginal likelihoods are obtained for the regression parameters in the model presented by Cox (1972). If no ties occur in the recording of failure time data the results of Cox are given a ...

USA: A new study has found that survival models using electronic health record (EHR) data can accurately predict the ...

A new AI tool helps predict survival in fibrotic lung disease, outperforming traditional clinical and imaging methods in a study of over 1,200 patients.

Using a multivariate Cox regression model that adjusted for factors such as age, sex, aura, and vascular risk factors, researchers found every 10% increase in output of the AI model (hazard ratio ...