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heemod: Markov Models for Health Economic Evaluations
An implementation of the modelling and reporting features described in reference textbook and guidelines (Briggs, Andrew, et al. Decision Modelling for Health Economic Evaluation. Oxford Univ. Press, 2011; Siebert, U. et al. State-Transition Modeling. Medical Decision Making 32, 690-700 (2012).): deterministic and probabilistic sensitivity analysis, heterogeneity analysis, time dependency on state-time and model-time (semi-Markov and non-homogeneous Markov models), etc.
Getting started
README.md
An Introduction to `heemod`
Calibrating `heemod` models
Deterministic Sensitivity Analysis
Heterogeneity & Demographic Analysis
Probabilistic Uncertainty Analysis
Reproducing Exact Results from DMHEE
Simple Markov Models (Homogeneous)
Survival models
Tabular Input
Time-varying Markov Models (Non-Homogeneous)
Time-varying values
Browse package contents
Package details |
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| Author | Kevin Zarca [aut, cre], Antoine Filipovic-Pierucci [aut], Matthew Wiener [ctb], Zdenek Kabat [ctb], Vojtech Filipec [ctb], Jordan Amdahl [ctb], Yonatan Carranza Alarcon [ctb], Vince Daniels [ctb] |
| Maintainer | Kevin Zarca <kevin.zarca@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.16.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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