| sim_data_Cox {PStrata} | R Documentation |
Simulated Dataset for Survival Outcome (Cox Model)
Description
A dataset generated for illustration of the principal stratification analysis. This dataset represents the common case of non-compliance.
Usage
sim_data_Cox
Format
## 'sim_data_Cox' A data frame with 1,000 rows and 7 columns:
- S
Principal Strata: "never taker", "complier" or "always taker"
- Z
Randomized treatment arm: 0 = control, 1 = treatment
- D
Actual treatment arm: 0 = control, 1 = treatment
- T
True outcome: event time
- C
Censor time
- delta
Event indicator. 1 means true outcome is observed; 0 means otherwise
- Y
The observed event time or censor time
Details
The dataset represents the scenario where actual treatment might not be in compliance
with the randomized (assigned) treatment. Defiers and always-takers are ruled out, leaving two
strata, "never-taker" and "complier" randomly sampled with
probability 0.3, 0.7 respectively. The assigned treatment Z is randomized
with 0.5 probability for either arm. The true event time T is given by the following
Weibull-Cox distribution
- never-taker
Y \sim Weibull-Cox(theta = 1, mu = 0.3)- complier
Y \sim Weibull-Cox(theta = 1, mu = 2 - 0.6*Z)
and the censor time C is uniformly drawn between 0.5 and 2.
The exclusion restriction assumption holds for never-takers in this generated dataset.