tranSurv: Transformation-Based Regression under Dependent Truncation (original) (raw)
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: | 1.2.4 |
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Imports: | rootSolve, truncSP, survival, SQUAREM, methods |
Suggests: | MASS, boot |
Published: | 2025-09-22 |
DOI: | 10.32614/CRAN.package.tranSurv |
Author: | Sy Han (Steven) Chiou [aut, cre], Jing Qian [aut] |
Maintainer: | Sy Han (Steven) Chiou |
BugReports: | https://github.com/stc04003/tranSurv/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/stc04003/tranSurv |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | tranSurv results |
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