tranSurv: Estimating a Survival Distribution in the Presence of Dependent Left Truncation and Right Censoring

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A structural transformation model for a latent, quasi-independent truncation time as a function of the observed dependent truncation time and the event time, and an unknown dependence parameter. The dependence parameter is chosen to minimize the conditional Kendall's tau. The marginal distribution for the truncation time and the event time are completely left unspecified.

Author
Sy Han (Steven) Chiou
Date of publication
2016-07-19 02:33:36
Maintainer
Sy Han (Steven) Chiou <schiou@hsph.harvard.edu>
License
GPL (>= 3)
Version
1.0-0

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Man pages

condKendall
Test for quasi-independence on truncated survival data
tranSurvfit
This function creates survival curves under dependent...
tranSurv-package
Transformation Model Based Survival Curve Estimation with...
uncondKendall
Computes the unconditional Kendall's tau

Files in this package

tranSurv
tranSurv/src
tranSurv/src/getKendall.c
tranSurv/NAMESPACE
tranSurv/R
tranSurv/R/tranSurvfit.R
tranSurv/R/summary.R
tranSurv/MD5
tranSurv/DESCRIPTION
tranSurv/man
tranSurv/man/tranSurv-package.Rd
tranSurv/man/uncondKendall.Rd
tranSurv/man/tranSurvfit.Rd
tranSurv/man/condKendall.Rd