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

A latent, quasi-independent truncation time is assumed to be linked with the observed dependent truncation time, the event time, and an unknown transformation parameter via a structural transformation model. The transformation parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) <doi:10.1198/016214504000001538> or the regression coefficient estimates (Jones and Crowley, 1992) <doi:10.2307/2336782>. The marginal distribution for the truncation time and the event time are completely left unspecified. The methodology is applied to survival curve estimation and regression analysis.

Version: 1.2.1
Imports: rootSolve, truncSP, survival, SQUAREM, methods
Suggests: MASS, boot
Published: 2020-07-28
Author: Sy Han (Steven) Chiou [aut, cre]
Maintainer: Sy Han (Steven) Chiou <schiou at>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: NEWS
CRAN checks: tranSurv results


Reference manual: tranSurv.pdf
Package source: tranSurv_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: tranSurv_1.2.1.tgz, r-oldrel: tranSurv_1.2.1.tgz
Old sources: tranSurv archive


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