knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "man/figures/README-", out.width = "100%" )
The package york.course.excel.model.in.R
is an R implementation of the MS Excel Markov model, titled
Markov Modelling and Probabilistic Sensitivity Analysis for Cost-Effectiveness Modelling of Health Care Interventions
by Andrew Briggs, Health Economics Research Centre, University of Oxford.
You can install the current version of york.course.excel.model.in.R
from GitHub with:
remotes::install_github("n8thangreen/york.course.excel.model.in.R")
The model outlined in the spreadsheet was used to illustrate the principles of Markov modelling and probabilistic sensitivity analysis in the following two papers:
Briggs A, Sculpher M. Introducing Markov models for economic evaluation. PharmacoEconomics 1998; 13(4): 397-409.
Briggs AH. Handling uncertainty in cost-effectiveness models.PharmacoEconomics 2000 (forthcoming).
The model is made available for non-commercial teaching purposes only.
scripts/markov_model.R
- Model set-up, simulation and cost-effectiveness analysis.R/p_matrix_cycle.R
- Updates the transition probability matrix at each cycle depending on the cohort ages and cycle number.Please note that the york.course.excel.model.in.R
project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
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