sim_timevary_surv: Simulated Time-varying Survival Data

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

Simulated Time-varying Survival Data

Description

A dataset with a time-to-event outcome, one baseline nodes, two time-varying covariates, a binary time-varying treatment, two outcome nodes, and two censoring indicators. Data-generating mechanism taken from Lendle, Schwab, Petersen, and van der Laan (https://www.jstatsoft.org/article/view/v081i01).

Usage

sim_timevary_surv

Format

A data frame with 500 rows and 11 variables:

L0.a

Continuous baseline variable.

L0.b

Time varying covariate at baseline.

L0.c

Time varying covariate at baseline.

A0

Treatment variable at baseline

C0

Censoring indicator that the observation is observed future time points.

L1.a

Time varying covariate at time 1.

L1.b

Time varying covariate at time 1.

Y1

Outcome node at time 1.

A1

Treatment variable at time 1.

C1

Censoring indicator that the observation is observed future time points.

Y2

Final outcome node.

nt-williams/lmtp documentation built on July 4, 2024, 4:01 a.m.