newTestSurvRec (version 1.0.2)

FitSurvRec: Compute a Survival Curve for Recurrent Event Data given a variable of group

Description

Computes an estimate of a survival curve for recurrent event data using either the Pena, Strawderman and Hollanderor Wang and Chang estimators. It also computes the asymptotic standard errors. The resulting object of class Survrecu is plotted.

Usage

FitSurvRec(formula, data, type = "pena-strawderman-hollander", ...)

Arguments

formula

A formula object. If a formula object is supplied it must have a Survrecu object as the response on the left of the operatorand a term on the right. For a single survival curve as part of the formula is required.

data

a data frame in wich to interpret the variables named in the formula.

type

a character string specifying the type of survival curve. Possible value are "pena- strawderman-hollander" or "wang-chang". The default is "pena,-strawderman-hollander".

…

additional arguments passed to the type of estimator.

Value

A FitSurvRec object. Methods defined for FitSurvRec objects are provided for print, lines and plot.

Details

See the help details of PSH.fit or WC.fit depending on the type chosen

References

Martinez C., Ramirez, G., Vasquez M. (2009).Pruebas no parametricas para comparar curvas de supervivencia de dos grupos que experimentan eventos recurrentes. Propuestas. Revista Ingenieria U.C.,Vol 16, 3, 45-55.//Pena E., Strawderman R., Hollander M. (2001). Nonparametric Estimation with Recurrent Event Data. J.A.S.A. 96, 1299-1315

See Also

is.Survrecu, Survrecu, PSH.fit, Plot.Event.Rec, Plot.Surv.Rec, Print.Summary

Examples

# NOT RUN {
data(MMC.TestSurvRec)
# fit a PSH survival function and plot it
fitPSH<-FitSurvRec(Survrecu(id,time,event)~1,data=MMC.TestSurvRec)
plot(fitPSH$time,fitPSH$survfunc,type="s" ,ylim=c(0,1),
     xlim=c(0,max(fitPSH$time)))
title(main = list("Survival Curve with Recurrent Event Data", 
      cex = 0.8, font = 2.3, col = "dark blue"))
mtext("Research Group: AVANCE USE R!", cex = 0.7, font = 2, 
      col = "dark blue", line = 1)
mtext("Software made by: Dr. Carlos Martinez", cex = 0.6, font = 2, 
      col = "dark red", line = 0)
 
# }
# NOT RUN {
fitWC<-FitSurvRec(Survrecu(id,time,event)~1,data=MMC.TestSurvRec,
              type="wang-chang")
plot(fitWC$time,fitWC$survfunc,type="s" ,ylim=c(0,1),xlim=c(0,max(fitWC$time)))
  	  title(main = list("Survival Curve with Recurrent Event Data", 
       cex = 0.8, font = 2.3, col = "dark blue"))
        mtext("Research Group: AVANCE USE R!", cex = 0.7, font = 2, 
       col = "dark blue", line = 1)
        mtext("Software made by: Dr. Carlos Martinez", cex = 0.6, font = 2, 
       col = "dark red", line = 0)
              
# }