Package: joint.Cox
Type: Package
Title: Joint Frailty-Copula Models for Tumour Progression and Death in
        Meta-Analysis
Version: 3.7
Date: 2019-11-20
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>
Description: 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) <doi:10.1177/0962280215604510> for likelihood estimation, and
 Emura et al. (2018) <doi:10.1177/0962280216688032> for dynamic prediction.
 More details on these methods can also be found in a book of Emura et al. (2019) <doi:10.1007/978-981-13-3516-7>.
 Survival data from ovarian cancer patients are also available.
License: GPL-2
Depends: survival
NeedsCompilation: no
Packaged: 2019-11-20 10:10:05 UTC; user
Repository: CRAN
Date/Publication: 2019-11-20 10:40:02 UTC
Built: R 4.0.0; ; 2020-04-10 07:28:16 UTC; windows
