BiSample: Binary longitudinal example data

In PDRobust: Robust Longitudinal Effects Under Truncation by Death

Binary longitudinal example data

Description

Simulated long-format data for illustrating binary-outcome analyses. Potential survival is generated with S^1 \ge S^0, matching the package's treatment-1 survival-favorable convention. The simulation variables are not observed counterfactual information available in a real study.

Usage

BiSample

Format

A simulated long-format data frame with 1,200 rows (400 subjects at three visits) and 16 variables:

id

Subject identifier.

time

Analysis time.

Pi

Simulated probability of treatment 1 conditional on baseline covariates, stored to three decimal places.

S1, S0

Simulated potential survival indicators under treatment 1 and 0, respectively; 1 denotes alive and 0 denotes dead.

Y1, Y0

Simulated binary potential outcomes under treatment 1 and 0, respectively. These simulation variables are retained for illustration; package analyses use the observed outcome Y.

X1, X2, X3

Continuous baseline covariates.

X4, X5, X6

Binary baseline covariates.

A

Binary treatment indicator.

S

Binary survival or intermediate-status indicator.

Y

Binary outcome, structurally missing after death.

Source

Simulated for package examples.

Examples

data("BiSample", package = "PDRobust")
head(BiSample)

PDRobust documentation built on Oct. 2, 2026, 5:09 p.m.