Perform likelihood estimation and dynamic prediction under
joint frailty-copula models for tumour progression and death in meta-analysis.
A penalized likelihood method is employed for estimating model parameters, where the baseline hazard functions are modeled 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. (2017)