msmdata: Simulated data for a 3 time point sequential study

In WeightIt: Weighting for Covariate Balance in Observational Studies

Simulated data for a 3 time point sequential study

Description

This is a simulated dataset of 7500 units with covariates and treatment measured three times and the outcome measured at the end from a hypothetical observational study examining the effect of treatment delivered at each time point on an adverse event.

Usage

data("msmdata")

Format

A data frame with 7500 observations on the following 10 variables.

X1_0

a count covariate measured at baseline

X2_0

a binary covariate measured at baseline

A_1

a binary indicator of treatment status at the first time point

X1_1

a count covariate measured at the first time point (after the first treatment)

X2_1

a binary covariate measured at the first time point (after the first treatment)

A_2

a binary indicator of treatment status at the second time point

X1_2

a count covariate measured at the second time point (after the second treatment)

X2_2

a binary covariate measured at the first time point (after the first treatment)

A_3

a binary indicator of treatment status at the third time point

Y_B

a binary indicator of the outcome event (e.g., death)

Examples

data(msmdata)

WeightIt documentation built on May 31, 2023, 9:25 p.m.