Full Citation
Title: Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial
Citation Type: Journal Article
Publication Year: 2018
ISBN:
ISSN: 0272-989X
DOI: 10.1177/0272989X18754513
NSFID:
PMCID:
PMID:
Abstract: Microsimulation models are becoming increasingly common in the field of decision modeling for health. Because microsimulation models are computationally more demanding than traditional Markov cohort models, the use of computer programming languages in their development has become more common. R is a programming language that has gained recognition within the field of decision modeling. It has the capacity to perform microsimulation models more efficiently than software commonly used for decision modeling, incorporate statistical analyses within decision models, and produce more transparent models and reproducible results. However, no clear guidance for the implementation of microsimulation models in R exists. In this tutorial, we provide a step-by-step guide to build microsimulation models in R and illustrate the use of this guide on a simple, but transferable, hypothetical decision problem. We guide the reader through the necessary steps and provide generic R code that is flexible and can be adapted for ...
Url: http://journals.sagepub.com/doi/10.1177/0272989X18754513
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Authors: Krijkamp, Eline M.; Alarid-Escudero, Fernando; Enns, Eva A; Jalal, H; Hunink, M. G. Myriam; Pechlivanoglou, Petros
Periodical (Full): Medical Decision Making
Issue: 3
Volume: 38
Pages: 400-422
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