Description Author(s) References See Also

A package that estimates survival curve under a dependent truncation and independent right censoring via a structural transformation method. The package also includes hypothesis test of quasi-independence based on the conditional Kendall's tau of Martin and Betensky (2005) and two versions of the inverse probability weighted Kendall's tau of Austin and Betensky (2014).

**Maintainer**: Sy Han (Steven) Chiou [email protected]

Martin E. and Betensky R. A. (2005), Testing quasi-independence of failure and truncation times via conditional Kendall's tau,
*Journal of the American Statistical Association*, **100** (470): 484-492.

Austin, M. D. and Betensky R. A. (2014), Eliminating bias due to censoring in Kendall's tau estimators for quasi-independence of truncation and failure,
*Computational Statistics & Data Analysis*, **73**: 16-26.

Chiou, S., Austin, M., Qian, J. and Betensky R. A. (2016), Transformation model estimation of survival under dependent truncation and independent censoring, an unpublished manuscript.

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