Creatividad epistemológica como factor de cambio y/o confusión: epidemiología y estadística

• Jordi Vallverdú ^[1]
  1. [1] Universitat Autònoma de Barcelona

     Universitat Autònoma de Barcelona

     Barcelona, España

     
• Localización: Revista iberoamericana de argumentación, ISSN-e 2172-8801, Nº. 15, 2017 (Ejemplar dedicado a: Argumentación y Creatividad), págs. 92-98
• Idioma: español
• Títulos paralelos:
  • Epistemological creativity as a factor for change and/or confusion: epidemiology and statistics
• Enlaces
  • Texto completo
• Resumen
  • español

    Si bien la creatividad metodológica es una fuente de avance en las disciplinas científicas, podemos decir que durante su proceso de implementación es al mismo tiempo fuente de confusión. Las controversias científicas producidas a lo largo del siglo XX e inicios del XXI en torno a la epidemiología se nutren o son incentivadas por los debates paralelos en relación con las técnicas estadísticas empleadas. Por ello, deberíamos considerar los retos epistemológicos que reclama la implementación de los resultados de la creatividad epistemológica.

  • English

    Although methodological creativity is a source of progress in scientific disciplines, we can affirm that during its implementation process it is at the same time a source of confusion. Scientific controversies produced throughout the twentieth and early twentieth centuries around epidemiology are nurtured or stimulated by parallel debates in relation to the statistical techniques employed. Therefore, we should consider the epistemological challenges that call for the implementation of the results of epistemological creativity.

• Referencias bibliográficas
  • Berger, J. O., & Bayarri, M. J. (2004). The Interplay of Bayesian and Frequentist Analysis. Statistical Science, 19(1),...
  • Broadbent, A. (2013). Philosophy of Epidemiology. London: Palgrave Macmillan UK. http://doi.org/10.1057/9781137315601
  • Brown, H. I. (1985). Galileo on the Telescope and the Eye. Journal of the History of Ideas, 46(4), 487–501. http://doi.org/10.2307/2709541
  • Casacuberta, D., & Estany, A. (2003). Eureka? El transfondo de un descubrimiento sobre el cáncer y la genética molecular. Tusquets...
  • Daniel, R. M., De Stavola, B. L., & Vansteelandt, S. (2016). Commentary: The formal approach to quantitative causal inference ...
  • Efron, B. (1998). R.A. Fisher in the 21st century -Invited paper presented at the 1996 R.A. Fisher lecture. Statistical Science, 13(2), 95–114.
  • Gelman, A. (2013). P Values and Statistical Practice. Epidemiology, 24(1), 69–72. http://doi.org/10.1097/EDE.0b013e31827886f7
  • Gentner, D., & Jeziorski, M. (1993). The shift from metaphor to analogy in Western science. Metaphor and Thought, 447–480....
  • Good, I. J. (1971). 46656 varieties of bayesians. American Statistician, 25(5), 62–63. http://doi.org/10.1080/00031305.1971.10477310
  • Greenland, S., Pearl, J., & Robins, J. M. (1999). Causal diagrams for epidemiologic research. Epidemiology (Cambridge,...
  • Hacking, I. (1972). Likelihood. The British Journal for the Philosophy of Science, 23(2), 132–137. http://doi.org/10.1093/bjps/23.2.132
  • Hicks, D. J. (2017). Inductive Risk and Regulatory Toxicology: A Comment on de Melo-Martín and Intemann. Philosophy of Science, 694771. http://doi.org/10.1086/694771
  • Jones, E. G. (1999). Golgi, Cajal and the Neuron Doctrine. Journal of the History of the Neurosciences, 8(2), 170–178. http://doi.org/10.1076/jhin.8.2.170.1838
  • Krieger, N. (1994). Epidemiology and the web of causation: Has anyone seen the spider? Social Science and Medicine, 39(7), 887–903. http://doi.org/10.1016/0277-9536(94)90202-X
  • Kuhn, T. S. (1976). Theory-change as structure-change: Comments on the sneed formalism. Erkenntnis, 10(2), 179–199. http://doi.org/10.1007/BF00204969
  • Lakatos, I. (1980). The Methodology of Scientific Research Programmes. Volume 1. Philosophical Papers.(J. Worrall & G. Currie, Eds.)....
  • Lilienfeld, A. M. (1957). Epidemiological methods and inferences in studies of non-infectious diseases. Public Health Reports,...
  • McLaughlin, M., Rowland. Indrid. D., & Tarantino, E. (2015). Authority, Innovation and Early Modern Epistemology : Essays in...
  • Muntaner, C., Borrell, C., Ng, E., Chung, H., Espelt, A., Rodriguez-Sanz, M., ... O’Campo, P. (2012). Locating politics in social...
  • Nuzzo, R. (2014). Scientific method: Statistical errors. Nature, 506(7487), 150–152. http://doi.org/10.1038/506150a
  • Pearl, J. (2003). Reasoning Under Uncertainty. Annual Review of Computer Science, 4(1994), 37–72. http://doi.org/10.1146/annurev.cs.04.060190.000345
  • Riley, M. W. (1978). Aging, social change, and the power of ideas. Daedalus, 107(4), 39–52. http://doi.org/10.2307/20024579
  • Schroeder, M. J., & Vallverdú, J. (2015). Situated phenomenology and biological systems: Eastern and Western synthesis....
  • Sneed, J. D. (1983). Structuralism and scientific realism. Erkenntnis, 19(1–3), 345–370. http://doi.org/10.1007/BF00174791
  • Stegmüller, W. (1975). Structures and dynamics of theories -Some Reflections on J. D. Sneed and T. S. Kuhn. Erkenntnis, 9(1), 75–100. http://doi.org/10.1007/BF00223134
  • Vallverdú, J. (2005). ¿Cómo finalizan las controversias? Un nuevo modelo de análisis: la controvertida historia de la sacarina....
  • Vallverdú, J. (2010). Seeing for knowing:The Thomas Effect and computational science. In Thinking Machines and the Philosophy of...
  • Vallverdú, J. (2016a). Bayesians Versus Frequentists. Berlin, Heidelberg: Springer Berlin Heidelberg. http://doi.org/10.1007/978-3-662-48638-2
  • Vallverdú, J. (2016b). Causalidad y epidemiología. In À. Puyol & A. Estany (Eds.), Filosofía de la epidemiología social (pp. 97–116)....
  • Vallverdú, J. (2017). Brains, language and the argumentative mind in Western and Eastern societies. The fertile differences...
  • Vallverdú, J., & Schroeder, M. J. (2017). Lessons from culturally contrasted alternative methods of inquiry and styles of comprehension...
  • Vandenbroucke, J. P., Broadbent, A., & Pearce, N. (2016). Causality and causal inference in epidemiology: the need for a...
  • Verhulst, B. (2016). In defense of P values. AANA Journal, 84(5), 305–308. http://doi.org/10.1890/13-0590.1
  • Weisstein, E. W. (2017). Student’s t-Distribution. http://doi.org/10.1016/B978-0-7506-1496-2.50028-8