sim_point_surv: Simulated Point-treatment Survival Data

In lmtp: Non-Parametric Causal Effects of Feasible Interventions Based on Modified Treatment Policies

Simulated Point-treatment Survival Data

Description

A dataset with a time-to-event outcome, two baseline nodes, a binary point treatment, six past-time outcome nodes, and six censoring indicators.

Usage

sim_point_surv

Format

A data frame with 2000 rows and 16 variables:

W1

Binary baseline variable.

W2

Categorical baseline variable.

trt

Binary treatment variable.

C.0

Censoring indicator that the observation is observed future time points.

Y.1

Outcome node at time 1.

C.1

Censoring indicator that the observation is observed future time points.

Y.2

Outcome node at time 2.

C.2

Censoring indicator that the observation is observed future time points.

Y.3

Outcome node at time 3.

C.3

Censoring indicator that the observation is observed future time points.

Y.4

Outcome node at time 4.

C.4

Censoring indicator that the observation is observed future time points.

Y.5

Outcome node at time 5.

C.5

Censoring indicator that the observation is observed future time points.

Y.6

Final outcome node.

lmtp documentation built on July 26, 2023, 5:33 p.m.