Optimum engineering design problems are usually formulated as non-convex optimization problems of continuous variables. Because of the absence of convexity structure, they can have multiple minima, and global optimization becomes difficult. Traditional methods of optimization, such as penalty method
Globally optimal trial design for local decision making
โ Scribed by Simon Eckermann; Andrew R. Willan
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 161 KB
- Volume
- 18
- Category
- Article
- ISSN
- 1057-9230
- DOI
- 10.1002/hec.1353
No coin nor oath required. For personal study only.
โฆ Synopsis
Abstract
Value of information methods allows decision makers to identify efficient trial design following a principle of maximizing the expected value to decision makers of information from potential trial designs relative to their expected cost. However, in health technology assessment (HTA) the restrictive assumption has been made that, prospectively, there is only expected value of sample information from research commissioned within jurisdiction. This paper extends the framework for optimal trial design and decision making within jurisdiction to allow for optimal trial design across jurisdictions. This is illustrated in identifying an optimal trial design for decision making across the US, the UK and Australia for early versus late external cephalic version for pregnant women presenting in the breech position. The expected net gain from locally optimal trial designs of US$0.72M is shown to increase to US$1.14M with a globally optimal trial design. In general, the proposed method of globally optimal trial design improves on optimal trial design within jurisdictions by: (i) reflecting the global value of nonโrival information; (ii) allowing optimal allocation of trial sample across jurisdictions; (iii) avoiding market failure associated with freeโrider effects, subโoptimal spreading of fixed costs and heterogeneity of trial information with multiple trials. Copyright ยฉ 2008 John Wiley & Sons, Ltd.
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