simmsm: Function for Simulating Data for Marginal Structural Model

In ehsanx/simMSM: Simulate Data for Marginal Structural Model

Function for Simulating Data for Marginal Structural Model

Description

Simulates data suitable for fitting Marginal Structural Model.

Usage

simmsm(subjects = 2500, tpoints = 10, psi = 0.3, n = 5)

Arguments

subjects	Number of Subjects in each simulated dataset
tpoints	Maximum number of time-points each subjects are followed
psi	Causal effect parameter for Marginal Structural Model
n	Number of simulated datasets an user wants to generate

Author(s)

Ehsan Karim (R porting from SAS)

References

Young J.G., Hernan M.A., Picciotto S., and Robins J.M. Relation between three classes of structural models for the effect of a time-varying exposure on survival. Lifetime Data Analysis, 16(1):71-84, 2010.

ehsanx/simMSM documentation built on Sept. 27, 2022, 2:29 a.m.