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blendR: Blended Survival Curves
Create a blended curve from two survival curves, which is particularly useful for survival extrapolation in health technology assessment. The main idea is to mix a flexible model that fits the observed data well with a parametric model that encodes assumptions about long-term survival. The two curves are blended into a single survival curve that is identical to the first model over the range of observed times and gradually approaches the parametric model over the extrapolation period based on a given weight function. This approach allows for the inclusion of external information, such as data from registries or expert opinion, to guide long-term extrapolations, especially when dealing with immature trial data. See Che et al. (2022) <doi:10.1177/0272989X221134545>.
Getting started
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Package details |
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| Author | Nathan Green [aut] (ORCID: <https://orcid.org/0000-0003-2745-1736>, ROR: <https://ror.org/02jx3x895>), Zhaojing Che [aut, cph, cre] (ORCID: <https://orcid.org/0000-0003-2245-1606>, ROR: <https://ror.org/052gg0110>) |
| Maintainer | Zhaojing Che <blendr-pkg@proton.me> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://github.com/StatisticsHealthEconomics/blendR/ https://StatisticsHealthEconomics.github.io/blendR/ |
| Package repository | View on CRAN |
| Installation |
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