aftgee-package: Accelerate Failure Time with Generalize Estimating Equations
Description
This package features both rank-based estimates and least square
estimates to the Accelerated Failure Time (AFT) model.
For rank-based estimation, it provides approaches that include the
computatonally efficent Gehan's weight and the general's weight such
as the logrank weight.
For the least square estimation, the estimating equation is solved
with Generalized Estimating Equations (GEE).
Moreover, in multivariate cases, the dependence working correlation
strcture can be specified in GEE's setting.Details
ll{
Package: aftgee
Type: Package
Version: 0.2-31
Date: 2012-06-05
License: GPL(>=3)
LazyLoad: yes
}References
Chiou, S. H. and Kim, H. and Yan, J. (2012) Semiparametric
Multivariate Accelerated Failure Time Model with Generalized
Estimating Equations. University of Connecticut.
Jin, Z. and Lin, D. Y. and Ying, Z. (2006) On Least-squares Regression
with Censored Data. Biometrika, 90, 341--353.
Johnson, L. M. and Strawderman, R. L. (2009) Induced Smoothing for the
Semiparametric Accelerated Failure Time Model: Asymptotics and
Extensions to Clustered Data. Biometrika, 96, 577--590.