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R You Still Using Excel? The Advantages of Modern Software Tools for Health Technology Assessment

Incerti, D; Thom, H; Baio, G; Jansen, JP; (2019) R You Still Using Excel? The Advantages of Modern Software Tools for Health Technology Assessment. Value in Health , 22 (5) pp. 575-579. 10.1016/j.jval.2019.01.003. (In press).

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Abstract

The Professional Society for Health Economics and Outcomes Research Economic models are used in health technology assessments (HTAs) to evaluate the cost-effectiveness of competing medical technologies and inform the efficient use of health care resources. Historically, these models have been developed with specialized commercial software (such as TreeAge) or more commonly with spreadsheet software (almost always Microsoft Excel). Although these tools may be sufficient for relatively simple analyses, they put unnecessary constraints on the analysis that may ultimately limit its credibility and relevance. In contrast, modern programming languages such as R, Python, Matlab, and Julia facilitate the development of models that are (i) clinically realistic, (ii) capable of quantifying decision uncertainty, (iii) transparent and reproducible, and (iv) reusable and adaptable. An HTA environment that encourages use of modern software can therefore help ensure that coverage and pricing decisions confer greatest possible benefit and capture all scientific uncertainty, thus enabling correct prioritization of future research.

Type: Article
Title: R You Still Using Excel? The Advantages of Modern Software Tools for Health Technology Assessment
DOI: 10.1016/j.jval.2019.01.003
Publisher version: http://doi.org/10.1016/j.jval.2019.01.003
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10072914
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