psm3mkv-package: psm3mkv: Evaluate Partitioned Survival and State Transition...
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psm3mkv: Evaluate Partitioned Survival and State Transition Models
Description
Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy.
Author(s)
Maintainer: Dominic Muston dominic.muston@merck.com (ORCID)
Other contributors:
Merck & Co., Inc., Rahway, NJ, USA and its affiliates [copyright holder, funder]
See Also
Useful links:
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psm3mkv: Evaluate Partitioned Survival and State Transition Models
Description
Fits and evaluates three-state partitioned survival analyses (PartSAs) and Markov models (clock forward or clock reset) to progression and overall survival data typically collected in oncology clinical trials. These model structures are typically considered in cost-effectiveness modeling in advanced/metastatic cancer indications. Muston (2024). "Informing structural assumptions for three state oncology cost-effectiveness models through model efficiency and fit". Applied Health Economics and Health Policy.
Author(s)
Maintainer: Dominic Muston dominic.muston@merck.com (ORCID)
Other contributors:
Merck & Co., Inc., Rahway, NJ, USA and its affiliates [copyright holder, funder]
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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