tranSurv: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent 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.

Package details

AuthorSy Han (Steven) Chiou [aut, cre], Jing Qian [aut]
MaintainerSy Han (Steven) Chiou <>
LicenseGPL (>= 3)
Package repositoryView on CRAN
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tranSurv documentation built on Jan. 16, 2021, 5:31 p.m.