tranSurv-package: tranSurv:Transformation Model Based Survival Curve Estimation...

In tranSurv: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent Censoring

Description

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).

Author(s)

Maintainer: Sy Han (Steven) Chiou [e-mail]

Authors:

• Jing Qian [e-mail]

References

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, Statistical Methods in Medical Research, 28 (12): 3785-3798.

See Also

Useful links:

• https://github.com/stc04003/tranSurv

• Report bugs at https://github.com/stc04003/tranSurv/issues

tranSurv documentation built on Jan. 16, 2021, 5:31 p.m.