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

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 3000 rows and 5 columns.

Note

MIsim2 is a version of the same dataset with the method column split into two columns, m1 and m2.

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