kmi-package {kmi} | R Documentation |
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.
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.
Arthur Allignol <arthur.allignol@fdm.uni-freiburg.de>
Maintainer: Arthur Allignol <arthur.allignol@fdm.uni-freiburg.de>
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.