retrieve the paradigms message from the black box

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Beyond black box epidemiology.

Am J Public Health. 1998 January; 88(1): 12–14.

doi: 10.2105/ajph.88.1.12

PMCID: PMC1508377 PMID: 9584017

Beyond black box epidemiology.

D L Weed

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Selected References

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Susser M, Susser E. Choosing a future for epidemiology: I. Eras and paradigms. Am J Public Health. 1996 May;86(5):668–673. [PMC free article] [PubMed] [Google Scholar]

Winkelstein W., Jr Eras, paradigms, and the future of epidemiology. Am J Public Health. 1996 May;86(5):621–622. [PMC free article] [PubMed] [Google Scholar]

Lilienfeld AM, Lilienfeld DE. The 1979 Health Clark lectures. 'The epidemiologic fabric'. I--Weaving the threads. Int J Epidemiol. 1980 Sep;9(3):199–206. [PubMed] [Google Scholar]

Vandenbroucke JP. Is 'the causes of cancer' a miasma theory for the end of the twentieth century? Int J Epidemiol. 1988 Dec;17(4):708–709. [PubMed] [Google Scholar]

Savitz DA. In defense of black box epidemiology. Epidemiology. 1994 Sep;5(5):550–552. [PubMed] [Google Scholar]

Skrabanek P. The emptiness of the black box. Epidemiology. 1994 Sep;5(5):553–555. [PubMed] [Google Scholar]

Loomis D, Wing S. Is molecular epidemiology a germ theory for the end of the twentieth century? Int J Epidemiol. 1990 Mar;19(1):1–3. [PubMed] [Google Scholar]

Krieger N. Epidemiology and the web of causation: has anyone seen the spider? Soc Sci Med. 1994 Oct;39(7):887–903. [PubMed] [Google Scholar]

Susser M, Susser E. Choosing a future for epidemiology: II. From black box to Chinese boxes and eco-epidemiology. Am J Public Health. 1996 May;86(5):674–677. [PMC free article] [PubMed] [Google Scholar]

Weed DL. An epidemiological application of Popper's method. J Epidemiol Community Health. 1985 Dec;39(4):277–285. [PMC free article] [PubMed] [Google Scholar]

Koopman JS. Emerging objectives and methods in epidemiology. Am J Public Health. 1996 May;86(5):630–632. [PMC free article] [PubMed] [Google Scholar]

van Oortmarssen GJ, Habbema JD, van der Maas PJ, de Koning HJ, Collette HJ, Verbeek AL, Geerts AT, Lubbe KT. A model for breast cancer screening. Cancer. 1990 Oct 1;66(7):1601–1612. [PubMed] [Google Scholar]

Nijhuis HG, van der Maesen LJ. The philosophical foundations of public health: an invitation to debate. J Epidemiol Community Health. 1994 Feb;48(1):1–3. [PMC free article] [PubMed] [Google Scholar]

Veatch RM, Stempsey WE. Incommensurability: its implications for the patient/physician relation. J Med Philos. 1995 Jun;20(3):253–269. [PubMed] [Google Scholar]

Weed DL. Epidemiology, the humanities, and public health. Am J Public Health. 1995 Jul;85(7):914–918. [PMC free article] [PubMed] [Google Scholar]

Mackenbach JP. Public health epidemiology. J Epidemiol Community Health. 1995 Aug;49(4):333–334. [PMC free article] [PubMed] [Google Scholar]

Holland WW. The hazards of epidemiology. Am J Public Health. 1995 May;85(5):616–617. [PMC free article] [PubMed] [Google Scholar]

McMichael AJ. Invited commentary--"molecular epidemiology": new pathway or new travelling companion? Am J Epidemiol. 1994 Jul 1;140(1):1–11. [PubMed] [Google Scholar]

Bayley C. Our world views (may be) incommensurable: now what? J Med Philos. 1995 Jun;20(3):271–284. [PubMed] [Google Scholar]

Pellegrino ED. Toward a virtue-based normative ethics for the health professions. Kennedy Inst Ethics J. 1995 Sep;5(3):253–277. [PubMed] [Google Scholar]

Weed DL. Science, ethics guidelines, and advocacy in epidemiology. Ann Epidemiol. 1994 Mar;4(2):166–171. [PubMed] [Google Scholar]

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Fig. Sketch of the black

Download scientific diagram | Fig. Sketch of the black-box paradigm. An input is provided to a black box. The black box can comprise a mathematical model, a computer experiment, a real-world experiment, or a mixture of any of these components. The output is the only observable of the system. from publication: Stochastic Methods for Single Objective Global Optimization | Global Optimization and Stochastic | ResearchGate, the professional network for scientists.

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Fig. Sketch of the black-box paradigm. An input is provided to a black box. The black box can comprise a mathematical model, a computer experiment, a real-world experiment, or a mixture of any of these components. The output is the only observable of the system.

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Stochastic Methods for Single Objective Global Optimization

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A major challenge in model-based design of synthetic biochemical circuits is how to address uncertainty in the parameters. A circuit whose behavior is robust to variations in the parameters will have more chances to behave as predicted when implemented in practice, and also to function reliably in presence of fluctuations and noise. Here, we extend our recent work on automated-design based on mixed-integer multi-criteria dynamic optimization to take into account parametric uncertainty. We exploit the intensive sampling of the design space performed by a global optimization algorithm to obtain the robustness of the topologies without significant additional computational effort. Our procedure provides automatically topologies that best trade-off performance and robustness against parameter fluctuations. We illustrate our approach considering the automated design of gene circuits achieving adaptation.

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