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.
Version: 0.3.2 Depends: R (≥ 4.1.0) Imports: admiral, dplyr, flexsurv, ggplot2, pharmaverseadam, purrr, rlang, SimplicialCubature, stats, survival, stringr, tibble, tidyr Suggests: boot, covr, ggsci, HMDHFDplus, knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2024-06-07 DOI: 10.32614/CRAN.package.psm3mkv Author: Dominic Muston [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph, fnd] Maintainer: Dominic Muston <dominic.muston at merck.com> BugReports: https://github.com/Merck/psm3mkv/issues License: GPL (≥ 3) URL: https://merck.github.io/psm3mkv/, https://github.com/Merck/psm3mkv NeedsCompilation: no Citation: psm3mkv citation info Materials: README, NEWS CRAN checks: psm3mkv resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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