frailtypack (version 2.4.1)

print.Cmeasures: Print a short summary of results of Cmeasure function.

Description

Print a short summary of results of the concordance measure estimated by the Cmeasure function.

Usage

## S3 method for class 'Cmeasures':
print(x, digits = 3, ...)

Arguments

x

a Cmeasures object.

digits

Number of digits to print

...

Other unused arguments

Value

• call
  The shared frailty model evaluated.
• frequencies
  Numbers of patients, events and groups used to fit the model.
• Nboot
  Number of bootstrap resamplings required.
• Nbproblem
  Number of bootstrap resamplings in which the model did not converge. Those are excluded when computing the standard-error and the percentile 95% confidence interval.
• ties
  A binary, indicating if the pairs tied on prediction were used to compute the concordance.
• CPEcond
  Values of the Concordance Probability Estimations (conditional) and the number of pairs used. If Nboot>0, give SE, the standard-error of the parameters evaluated by bootstrap, IC.low and IC.high, the lower and upper bounds of the percentile confidence interval evaluated by bootstrap (2.5% and 97.5% percentiles).
• marginal
  A binary, indicating if the marginal values were computed.
• CPEmarg
  Values of the Concordance Probability Estimations (marginal) and the number of pairs used, if marginal=1. If Nboot>0, give SE, the standard-error of the parameters evaluated by bootstrap, IC.low and IC.high, the lower and upper bounds of the percentile confidence interval evaluated by bootstrap (2.5% and 97.5% percentiles).
• cindex
  A binary, indicating if the c-indexes were computed.
• cindexcond
  Values of the C-index (conditional) and the number of pairs used. If Nboot>0, give SE, the standard-error of the parameters evaluated by bootstrap, IC.low and IC.high, the lower and upper bounds of the percentile confidence interval evaluated by bootstrap (2.5% and 97.5% percentiles).
• cindexmarg
  Values of the C-index (marginal) and the number of pairs used, if marginal=1. If Nboot>0, give SE, the standard-error of the parameters evaluated by bootstrap, IC.low and IC.high, the lower and upper bounds of the percentile confidence interval evaluated by bootstrap (2.5% and 97.5% percentiles).

Examples

## load data
data(readmission)

## a frailtypenal fit
fit.frailtypenal <- frailtyPenal(Surv(time,event)~dukes+cluster(id)+
charlson+chemo+strata(sex),data=readmission,Frailty=TRUE,n.knots=10,
kappa1=1,kappa2=1)

## a Cmeasures call
fit.Cmeasures <- Cmeasures(fit.frailtypenal)

## a short summary
print(fit.Cmeasures)