| Name : R-joint.Cox
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| Version : 3.16
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp154.1.1
| Date : 2022-02-05 13:50:07
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| Group : Development/Libraries/Other
| Source RPM : R-joint.Cox-3.16-lp154.1.1.src.rpm
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| Size : 2.14 MB
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| Packager : https://www_suse_com/
| |
| Summary : Joint Frailty-Copula Models for Tumour Progression and Death in Meta-Analysis
|
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.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
