joint.Cox (2.15)

Penalized Likelihood Estimation and Dynamic Prediction under the Joint Frailty-Copula Models Between Tumour Progression and Death for Meta-Analysis.

http://cran.r-project.org/web/packages/joint.Cox

Perform the Cox regression and dynamic prediction methods under the joint frailty-copula model between tumour progression and death for meta-analysis. A penalized likelihood is employed for estimating model parameters, where the baseline hazard functions are approximated by smoothing splines. The methods are applicable for meta-analytic data combining several studies. The methods can analyze data having information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression). See Emura et al. (2015) and Emura et al. (2017) for details. Survival data from ovarian cancer patients are also available.

Maintainer: Takeshi Emura
Author(s): Takeshi Emura

License: GPL-2

Uses: survival
Reverse depends: GFGM.copula

Released over 1 year ago.