blendR

Description

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>.

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Trend: +23.6% (30d vs prior 30d)

CRAN Check Status

Package required but not available: ‘survHE’

Packages suggested but not available for checking: 'INLA', 'survHEhmc'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Packages suggested but not available for checking: 'INLA', 'survHEhmc'

Packages suggested but not available for checking: 'INLA', 'survHEhmc'

Package suggested but not available for checking: 'survHEhmc'

Check History

Package required but not available: ‘survHE’

Packages suggested but not available for checking: 'INLA', 'survHEhmc'

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

Packages suggested but not available for checking: 'INLA', 'survHEhmc'

Packages suggested but not available for checking: 'INLA', 'survHEhmc'

Package suggested but not available for checking: 'survHEhmc'

Dependency Network

Version History