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\
1 2 3
A data frame with 3,000 rows and 4 variables:
dataset Simulated dataset number.
method Method used (
b Point estimate.
se Standard error of the point estimate.
An object of class
tbl_df (inherits from
data.frame) with 3000 rows and 5 columns.
MIsim2 is a version of the same dataset with the
method column split into two columns,
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
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