README.md

In n8thangreen/york.course.excel.model.in.R: What the Package Does (One Line, Title Case)

york.course.excel.model.in.R

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, which can be downloaded from here.

Installation

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")

Background

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 May;17(5):479-500.

The model is made available for non-commercial teaching purposes only.

Key files

• 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.

Code of Conduct

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.

n8thangreen/york.course.excel.model.in.R documentation built on March 30, 2022, 1:56 p.m.