tauCens: Estimator of Kendall's tau for censored data

In Jeepen/biSurv: Functions related to bivariate survival data

Estimator of Kendall's tau for censored data

Description

Estimator of Kendall's tau for censored data

Usage

tauCens(formula, data = NULL, method = "adjusted")

Arguments

formula	a formula object, with the response on the left of a ~ operator, and the terms on the right. The response must be a survival object as returned by the Surv function. The RHS must contain a 'cluster' term.
data	a data.frame containing the variables in the model.
method	which estimator to use. The non-parametric estimator from Hougaard (2000) or the naive one where non-fully observed pairs are left out.

Details

Kendall's tau is a rank based measure of dependence. Note that this estimator is biased towards zero (and so is the estimator for the variance).

Value

non-parametric estimate of Kendall's tau and parametric estimates from three different frailty models.

Author(s)

Jeppe E. H. Madsen <[e-mail]>

References

Hougaard, Philip. Analysis of multivariate survival data. Springer Science & Business Media, 2012.

See Also

tauPar taucpp

Jeepen/biSurv documentation built on Sept. 30, 2023, 3:55 a.m.