aftgee (version 0.3-20)

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 computationally efficient 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 structure can be specified in GEE's setting.

Details

ll{ Package: aftgee Type: Package Version: 0.3-9 Date: 2012-10-02 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: Asymptotic and Extensions to Clustered Data. Biometrika, 96, 577--590.