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- W4320496524 endingPage "343" @default.
- W4320496524 startingPage "343" @default.
- W4320496524 abstract "We extend techniques and learnings about the stochastic properties of nonlinear responses from finance to medicine, particularly oncology where it can inform dosing and intervention. We define antifragility. We propose uses of risk analysis to medical problems, through the properties of nonlinear responses (convex or concave). We 1) link the convexity/concavity of the dose-response function to the statistical properties of the results; 2) define antifragility as a mathematical property for local beneficial convex responses and the generalization of fragility as its opposite, locally concave in the tails of the statistical distribution; 3) propose mathematically tractable relations between dosage, severity of conditions, and iatrogenics. In short we propose a framework to integrate the necessary consequences of nonlinearities in evidence-based oncology and more general clinical risk management." @default.
- W4320496524 created "2023-02-14" @default.
- W4320496524 creator A5051286221 @default.
- W4320496524 creator A5053108298 @default.
- W4320496524 date "2023-02-13" @default.
- W4320496524 modified "2023-10-18" @default.
- W4320496524 title "Working with Convex Responses: Antifragility from Finance to Oncology" @default.
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- W4320496524 doi "https://doi.org/10.3390/e25020343" @default.
- W4320496524 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36832709" @default.
- W4320496524 hasPublicationYear "2023" @default.
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