Package: joint.Cox
Type: Package
Title: Joint Frailty-Copula Models for Tumour Progression and Death in
        Meta-Analysis
Version: 3.10
Date: 2020-12-8
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>
Description: Fit survival data and perform dynamic prediction under joint frailty-copula models for tumour progression and death.
 Likelihood-based methods are employed for estimating model parameters, where the baseline hazard functions are modeled by the cubic M-spline or the Weibull model.
 The methods are applicable for meta-analytic data containing individual-patient information from several studies.
 Survival outcomes need information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression).
 Methodologies were published in
 Emura et al. (2017) <doi:10.1177/0962280215604510>, Emura et al. (2018) <doi:10.1177/0962280216688032>,
 Emura et al. (2020) <doi:10.1177/0962280219892295>, Shinohara et al. (2020) <doi:10.1080/03610918.2020.1855449>
 and Wu et al. (2020) <doi:10.1007/s00180-020-00977-1>.
 See also the 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: 2020-12-08 07:10:37 UTC; user
Repository: CRAN
Date/Publication: 2020-12-08 10:20:15 UTC
Built: R 4.0.2; ; 2020-12-09 11:32:45 UTC; unix
