I am a newbie in survival analysis and I would like to pose some simple questions, after reading numerous posts regarding how to perform survival analysis in R.
So, what I would like to know is:
Can survreg function of survival package handle combination of time - varying and fixed time independent variables?
Which are the mathematical formulations behind the following R commands:
Model 1: survreg(Time,Event) ~ Independent, dist = "w") and Model 2: survreg(log(Time),Event) ~ Independent, dist = "extreme")
Which of the above models can be considered as an AFT model?
In case anybody has tried fitting both models using a panel - like dataset, can easily understand that the coefficients are identical, though,
Model 2 tends to perform larger Mc Fadden's R - squared value. Why is this happening?