An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example
Published in Zenodo, 2021
Recommended citation: Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H (2021). R Code for An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example (Version v0.1.1). Zenodo. 10.5281/zenodo.5223093. Last accessed 19 August 2021.
This GitHub repository provides the code of the tutorial on how to implement time-independent cohort state-transition models (cSTMs) in R using a cost-effectiveness analysis (CEA) example, explained in the following manuscript:
- Alarid-Escudero F, Krijkamp EM, Enns EA, Yang A, Hunink MGM, Pechlivanoglou P, Jalal H. An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example. arXiv:200107824v3. 2021:1-26.
The release that accompanies the published article has been archived in zenodo.
The R folder includes two different scripts corresponding to functions used to synthesize cSTMs outputs and conduct several sensitivity analyses:
Funtions.R: Functions to generate epidemiological measures from time-dependent cSTMs.Functions_cSTM_time_indep.R: These functions wrap the time-independent cSTM, compute CEA measures, and generate probabilistic sensitivity analysis (PSA) input datasets.
GitHub repository and the accompanying manuscript can be downloaded here.