Joint Frailty-Copula Models for Tumour Progression and Death in Meta-Analysis

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Documentation for package ‘joint.Cox’ version 3.1

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joint.Cox-package Joint Frailty-Copula Models for Tumour Progression and Death in Meta-Analysis
cmprskCox.reg The Competing Risks Version of Penalized Likelihood Estimation under the Joint Cox Models Between Tumour Progression and Death for Meta-Analysis
dataOvarian Meta-analytic data of ovarian cancer patients combining 4 independent studies.
dataOvarian1 Data on time-to-recurrence and 158 gene expressions for 912 ovarian cancer patients from 4 independent studies.
dataOvarian2 Data on time-to-death and 128 gene expressions for 912 ovarian cancer patients from 4 independent studies.
F.KM Prediction of death using the Kaplan-Meier estimator
F.prediction Dynamic prediction of death
F.window Dynamic prediction of death under the joint frailty-copula model
F.window.Weibull Dynamic prediction of death under the joint frailty-copula model (the Weibull baseline hazard functions)
F.windows Dynamic prediction of death under the joint frailty-copula model
F.windows.Weibull Dynamic prediction of death under the joint frailty-copula model (the Weibull baseline hazard functions)
I.spline I-Spline function
joint.Cox Joint Frailty-Copula Models for Tumour Progression and Death in Meta-Analysis
jointCox.indep.reg Penalized Likelihood Estimation under the Joint Cox Models Between Tumour Progression and Death for Meta-Analysis
jointCox.reg Penalized Likelihood Estimation under the Joint Cox Models Between Tumour Progression and Death for Meta-Analysis
M.spline M-Spline function
splineCox.reg Fitting the Cox model with penalized splines using univariate survival data
Weibull.simu Simulating data from the Weibull joint frailty-copula model