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cff-version: 1.2.0
message: 'To cite package "joint.Cox" in publications use:'
type: software
license: GPL-2.0-only
title: 'joint.Cox: Joint Frailty-Copula Models for Tumour Progression and Death in
  Meta-Analysis'
version: '3.16'
doi: 10.32614/CRAN.package.joint.Cox
abstract: 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) <https://doi.org/10.1177/0962280215604510>, Emura et al. (2018) <https://doi.org/10.1177/0962280216688032>,
  Emura et al. (2020) <https://doi.org/10.1177/0962280219892295>, Shinohara et al.
  (2020) <https://doi.org/10.1080/03610918.2020.1855449>, Wu et al. (2020) <https://doi.org/10.1007/s00180-020-00977-1>,
  and Emura et al. (2021) <https://doi.org/10.1177/09622802211046390>. See also the
  book of Emura et al. (2019) <https://doi.org/10.1007/978-981-13-3516-7>. Survival
  data from ovarian cancer patients are also available.
authors:
- family-names: Emura
  given-names: Takeshi
  email: takeshiemura@gmail.com
repository: https://takeshiemura1.r-universe.dev
commit: 8b924e04d6ccce89c34c7131ba41852774b1ab79
date-released: '2022-02-04'
contact:
- family-names: Emura
  given-names: Takeshi
  email: takeshiemura@gmail.com