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) or the regression coefficient estimates (Jones and Crowley, 1992) . 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.


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install.packages("tranSurv")

1.2.2 by Sy Han (Steven) Chiou, 8 months ago


https://github.com/stc04003/tranSurv


Report a bug at https://github.com/stc04003/tranSurv/issues


Browse source code at https://github.com/cran/tranSurv


Authors: Sy Han (Steven) Chiou [aut, cre] , Jing Qian [aut]


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL (>= 3) license


Imports rootSolve, truncSP, survival, SQUAREM, methods

Suggests MASS, boot


See at CRAN