Package: joint.Cox
Type: Package
Title: Joint Frailty-Copula Models for Tumour Progression and Death in
        Meta-Analysis
Version: 3.16
Date: 2022-2-4
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>,
 Wu et al. (2020) <doi:10.1007/s00180-020-00977-1>, and Emura et al. (2021) <doi:10.1177/09622802211046390>.
 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: 2022-02-04 07:04:30 UTC; biouser
Repository: CRAN
Date/Publication: 2022-02-04 10:10:10 UTC
Built: R 4.7.0; ; 2026-07-29 02:26:03 UTC; windows
