Note that most of the nonparametric and semi-parametric competing risks analyses can be performed within the survival package. This includes nonparametric estimation of cause-specific cumulative incidence curves and the log-rank type test. It suffices to create a weighted data set as explained in Geskus, Biometrics 67, p. 39-49, 2011.
Ronald Geskus Academic Medical Center Amsterdam, the Netherlands >> Hi, I am wondering if anyone can explain to me if cumulative incidence >> (CI) is .... > The cumulative incidence curve and the KM are not the same, when there > are multiple outcomes. See the "etype" argument to survfit, which is > used to create CI curves (?survfit.formula). For testing differences > between CI curves use the cmprsk library from Gray; it can also draw > curves by the survfit routine has a lot more flexibility. -- View this message in context: http://r.789695.n4.nabble.com/cumulative-incidence-plot-vs-survival-plot-tp3628772p3643659.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
