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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.
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Package details |
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| Author | Sy Han (Steven) Chiou [aut, cre], Jing Qian [aut] |
| Maintainer | Sy Han (Steven) Chiou <schiou@utdallas.edu> |
| License | GPL (>= 3) |
| Version | 1.2.2 |
| URL | https://github.com/stc04003/tranSurv |
| Package repository | View on CRAN |
| Installation |
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