sim_data_Cox: Simulated Dataset for Survival Outcome (Cox Model)

In PStrata: Principal Stratification Analysis in R

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.

PStrata documentation built on May 29, 2024, 8:17 a.m.