… In conclusion, although the Cox proportional hazards model tends to be more popular in
the literature, the AFT model should also be considered when planning a survival analysis. It …

… It is common practice not to define a parametric model for the baseline hazard. This is in line
… Meier estimate of the survival function as a summary of the data. As in regression models for …

… The final model from a Cox regression analysis yields an equation for the … Cox regression
model involves examining the coefficients for each explanatory variable. A positive regression …

… X-axis shows the range of the treadmill score seen in clinical practice and Y -axis shows
the corresponding five-year survival probability predicted by the Cox regression model for the …

… the Cox proportional hazards model … model, which simply regresses the logarithm of the
survival time over the covariates, has seldom been utilized in the analysis of censored survival …

… the Cox regression model has been used increasingly for analysis of censored survival data…
The more recent methods for analysis of survival data, including Cox regression analysis (6-…

… In summary, for this model of Cox regression we apply the same questions seen in the
linear and logistic regressions, ie, centring of variables, methods of selection of variables, …

… (1987) to the general Cox regression model with possibly timevarying covariates. In the
next section, we introduce a class of estimation functions for 130 by incorporating the weight …

… with an asterisk to indicate that it is estimated from external data (general-population … hazard
in a Cox proportional hazards model [13], an arbitrary function which is not estimated. Some …

… In this paper, we repeatedly use Cox’s proportional hazards model to estimate the transitional
survival functions for given covariate values. The hazard function for this model is given by …