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newTestSurvRec (version 1.0.2)

Statistical Tests to Compare Curves with Recurrent Events

Description

Implements the routines to compare the survival curves with recurrent events, including the estimations of survival curves. The first model is a model for recurrent event, when the data are correlated or not correlated. It was proposed by Wang and Chang (1999) . In the independent case, the survival function can be estimated by the generalization of the limit product model of Pena (2001) .

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Version

Install

install.packages('newTestSurvRec')

Monthly Downloads

135

Version

1.0.2

License

GPL (>= 2)

Maintainer

Carlos Martinez

Last Published

April 16th, 2018

Functions in newTestSurvRec (1.0.2)

DataColonDukesABvsC

Re-hospitalization of patients with colorectal cancer
Plot.Cusum.Events

Plot data with recurrent events
MMC.TestSurvRec

Migratory Motor Complex
TBCplapyr

Data in patients with bladder cancer treated with placebo or pyridoxine
Survrecu

Create a Survival recurrent object type newTestSurvRec
Qsearch.Fractil

Calculate the survival time to a selected quantile
is.Survrecu

This function verify if the formula type of survival recurrent is object type newTestSurvRec
TBCplathi

Data in patients with bladder cancer treated as placebo or thiotepa
Plot.Data.Events

Plot data with recurrent events
Plot.Event.Rec

This function plots the ocurrence of a event in two scales time
TBCpyrthi

Data in patients with bladder cancers and treated with pyridoxine or thiotepa
newTestSurvRec-package

package newTestSurvRec
FitSurvRec

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

Rehospitalization of patients with colorectal cancer
DataColonDukesABvsD

Re-hospitalization of patients with colorectal cancer
Plot.Surv.Rec

Plots of thesurvival function from an object with class newTestSurvRec, using PHS or WC models
PSH.fit

Estimator of the survival curve using the estimator developed by Pena, Strawderman and Hollander
WC.fit

Survival function estimator for recurrence time data using the estimator developed by Wang and Chang
fit.Data.Survrecu

This function let to adjust the IDs the database
Dif.Surv.Rec

This function computes statistical difference between two survival curves
Print.Summary

Function to print summary of statistics tests to comparison of the survival curves of the groups with recurrent events