Ex1delayedEffect: Time-to-event data example 1 for non-proportional hazards...

In keaven/nphsim: Non proportional hazards sample size and simulation

Description

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.

Usage

data(Ex1delayedEffect)

Format

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

References

TBD

See Also

Ex2delayedEffect, Ex3curewithph, Ex4belly, Ex5widening, Ex6crossing

Examples

data(Ex1delayedEffect)
library(survival)
km1 <- with(Ex1delayedEffect,survfit(Surv(month,evntd)~trt))
km1
plot(km1)
with(subset(Ex1delayedEffect,trt==1),survfit(Surv(month,evntd)~trt))
with(subset(Ex1delayedEffect,trt==0),survfit(Surv(month,evntd)~trt))

keaven/nphsim documentation built on May 24, 2020, 9:34 p.m.