Censoring is the most important feature that distinguishes survival analysis from other statistical methods. Censored observation means incomplete observation and provides partial information about the time of failure. ...

The use of regression models with fractional polynomial was proposed to model nonlinear effects of covariates. The inclusion of continuous covariates as continuous in the model and its inclusion in the model as a categorical ...

The Cox regression model with the measurement error covariate can cause an important bias when estimating coefficients by maximizing the known partial likelihood function. In this case, alternative estimation methods have ...