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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1.2.2 by Sy Han (Steven) Chiou, a year ago

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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