Ex4belly: Time-to-event data example 4 for non-proportional hazards...
In keaven/nphsim: Non proportional hazards sample size and simulation

Description Usage Format References See Also Examples

Survival objects reverse-engineered datasets from published Kaplan-Meier curves. Individual trials are de-identified since the data are only approximations of the actual data. Data are intended to evaluate methods and designs for trials where non-proportional hazards may be anticipated for outcome data.

1	data(Ex4belly)

Data frame with 4 variables:

id: sequential numbering of unique identifiers
month: time-to-event
event: 1 for event, 0 for censored
trt: 1 for experimental, 0 for control

TBD

Ex1delayedEffect, Ex2delayedEffect, Ex3belly, Ex5widening, Ex6crossing

data(Ex4belly)
library(survival)
km1 <- with(Ex4belly,survfit(Surv(month,evntd)~trt))
km1
plot(km1)
with(subset(Ex4belly,trt==1),pwexpfit(Srv=Surv(month,evntd),array(6,3)))
with(subset(Ex4belly,trt==0),pwexpfit(Srv=Surv(month,evntd),array(6,3)))