kmi-package {kmi}R Documentation

Kaplan-Meier multiple imputation for the analysis of cumulative incidence functions in the competing risks setting

Description

The package performs a Kaplan-Meier multiple imputation to recover the missing potential censoring information from competing risks events, so that standard right-censored methods could be applied to the imputed data sets to perform analyses of the cumulative incidence functions.

Details

Package: kmi
Version: 0.3-2
Date: 2009
Depends: survival, mitools
License: GPL (>= 2)

Index:

cox.kmi                 Cox proportional hazards model applied to
                        imputed data sets
icu.pneu                Hospital acquired penumonia in ICU
kmi                     Kaplan-Meier multiple imputation for competing
                        risks
print.cox.kmi           Print method for cox.kmi objects
print.summary.cox.kmi   Print method for summary.cox.kmi objects
summary.cox.kmi         Summary method for cox.kmi objects

The kmi function performs the imputation, while cox.kmi is a wrapper of the coxph function that performs the Cox analysis for the subdistribution hazard on each imputed data set, then pools the results.

Author(s)

Arthur Allignol <arthur.allignol@fdm.uni-freiburg.de>

Maintainer: Arthur Allignol <arthur.allignol@fdm.uni-freiburg.de>

References

Ruan, P.K. and Gray, R.J. (2008). Analyses of cumulative incidence functions via non-parametric multiple imputation. Statistics in Medicine, 27(27):5709–5724.

Fine, J.P. and Gray, R.J. (1999). A Proportional Hazards Model for the Subdistribution of a Competing Risk. Journal of the American Statistical Association. 94(446):496–509.


[Package kmi version 0.3-2 Index]