| tranSurv-package {tranSurv} | R Documentation |
tranSurv:Transformation Model Based Survival Curve Estimation with Dependent Left Truncation
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 schiou@utdallas.edu
Authors:
Jing Qian qian@schoolph.umass.edu
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: