joint.Cox: Penalized Likelihood Estimation and Dynamic Prediction under the Joint Frailty-Copula Models Between Tumour Progression and Death for Meta-Analysis
Version 2.12

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.

Package details

AuthorTakeshi Emura
Date of publication2017-05-01 10:20:49 UTC
MaintainerTakeshi Emura <takeshiemura@gmail.com>
LicenseGPL-2
Version2.12
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("joint.Cox")

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joint.Cox documentation built on May 30, 2017, 8:24 a.m.