MIsim: Example of a simulation study on missing data

In ellessenne/interest: Interactively Explore Results from Simulation Studies

Description

A dataset from a simulation study comparing different ways to handle missing covariates when fitting a Cox model (White and Royston, 2009). One thousand datasets were simulated, each containing normally distributed covariates x and z and time-to-event outcome. Both covariates has 20\

Usage

MIsim

data(MIsim_big)

Format

A data frame with 3,000 rows and 4 variables:

• dataset Simulated dataset number.

• method Method used (CC, MI_LOGT or MI_T).

• b Point estimate.

• se Standard error of the point estimate.

An object of class tbl_df (inherits from tbl, data.frame) with 30000 rows and 6 columns.

Note

MIsim_big is a larger version of the MIsim dataset, for testing purposes.

References

White, I.R., and P. Royston. 2009. Imputing missing covariate values for the Cox model. Statistics in Medicine 28(15):1982-1998 doi: 10.1002/sim.3618

Little, R.J.A., and D.B. Rubin. 2002. Statistical analysis with missing data. 2nd ed. Hoboken, NJ: Wiley doi: 10.1002/9781119013563

Examples

data("MIsim", package = "rsimsum")

ellessenne/interest documentation built on April 29, 2020, 1:07 p.m.