2017
DOI: 10.1007/s41669-017-0019-2
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Model Registration: A Call to Action

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Cited by 23 publications
(19 citation statements)
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“…Computer decision models serve as the analytic foundation for most health economic evaluations, the prominence of which continues to grow. Cohen et al [1], Cohen and Wong [2], and Sampson and Wrightson [3] have argued that authors should publish the decision model ‘source code’, by which we mean the model’s human-readable computer instructions or its underlying component files with formulas in the case of spreadsheet-implemented models. They explained that releasing source code would boost model credibility and allow other researchers to adapt existing computer code to answer similar and related questions, thus increasing the efficiency of health economics.…”
mentioning
confidence: 99%
“…Computer decision models serve as the analytic foundation for most health economic evaluations, the prominence of which continues to grow. Cohen et al [1], Cohen and Wong [2], and Sampson and Wrightson [3] have argued that authors should publish the decision model ‘source code’, by which we mean the model’s human-readable computer instructions or its underlying component files with formulas in the case of spreadsheet-implemented models. They explained that releasing source code would boost model credibility and allow other researchers to adapt existing computer code to answer similar and related questions, thus increasing the efficiency of health economics.…”
mentioning
confidence: 99%
“…Even so, for sponsoremployed scientists and clinicians, they are qualified enough to participate as authors of company-sponsored research publications [8]. As proposed by Sampson and Wrightson, it could be a good strategy the creation of a registry and linked database of model-based economic evaluations [9]. Several mechanisms, such us publication bias, methodological errors, miss-interpretation of findings and fraud, might jeopardized Health Technology Assessment (HTA).…”
Section: Discussionmentioning
confidence: 99%
“…Experts agreed that transparency in decision-making is beneficial to the public and should be implemented wherever possible. The panel suggested that making mathematical models available for critique may both increase transparency and improve any given model [56]. Inclusion of stakeholder input into the evaluation process may also enhance transparency.…”
Section: Consistency and Transparency In Vaccine Decision-makingmentioning
confidence: 99%