Application of Cox Regression Model with Time Dependent Covariate in Clinical Trial

Oregon Convention Center 

The cox regression model is widely applied in survival analysis. Time dependent covariates can be analyzed with cox regression model to solve the situation that the covariate changes over time during the follow-up period. While lacking the application this method using cardiovascular clinical trial data, this presentation illustrates the statistical methodology and the application of cox regression model with time dependent covariate. The results shows that post-discharge atrial fibrillation or flutter was a significant predictor of the composite endpoint of death, stroke or rehospitalization at 2 years irrespective the treatment (transcatheter heart valve replacement or surgery) among the low-risk patients with severe aortic stenosis.

cox regression model

time dependent covariate

survival analysis 

Biometrics Section