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

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.


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install.packages("joint.Cox")

2.12 by Takeshi Emura, 4 months ago


Browse source code at https://github.com/cran/joint.Cox


Authors: Takeshi Emura


Documentation:   PDF Manual  


Task views: Meta-Analysis, Survival Analysis


GPL-2 license


Depends on survival


See at CRAN