Validation of a DICE Simulation Against a Discrete Event Simulation Implemented Entirely in Code
Jörgen Möller (),
Sarah Davis (),
Matt Stevenson () and
J. Jaime Caro ()
Additional contact information
Jörgen Möller: Evidera
Sarah Davis: University of Sheffield
Matt Stevenson: University of Sheffield
J. Jaime Caro: McGill University
PharmacoEconomics, 2017, vol. 35, issue 10, No 10, 1103-1109
Abstract:
Abstract Background Modeling is an essential tool for health technology assessment, and various techniques for conceptualizing and implementing such models have been described. Recently, a new method has been proposed—the discretely integrated condition event or DICE simulation—that enables frequently employed approaches to be specified using a common, simple structure that can be entirely contained and executed within widely available spreadsheet software. To assess if a DICE simulation provides equivalent results to an existing discrete event simulation, a comparison was undertaken. Methods A model of osteoporosis and its management programmed entirely in Visual Basic for Applications and made public by the National Institute for Health and Care Excellence (NICE) Decision Support Unit was downloaded and used to guide construction of its DICE version in Microsoft Excel®. The DICE model was then run using the same inputs and settings, and the results were compared. Results The DICE version produced results that are nearly identical to the original ones, with differences that would not affect the decision direction of the incremental cost-effectiveness ratios (
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s40273-017-0534-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:pharme:v:35:y:2017:i:10:d:10.1007_s40273-017-0534-0
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40273
DOI: 10.1007/s40273-017-0534-0
Access Statistics for this article
PharmacoEconomics is currently edited by Timothy Wrightson and Christopher I. Carswell
More articles in PharmacoEconomics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().