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)
|Date of publication||2017-09-03 09:25:36 UTC|
|Maintainer||Takeshi Emura <[email protected]>|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.