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Wilde, Michael; Williamson, Jon (2016)
Publisher: Routledge
Languages: English
Types: Part of book or chapter of book
Subjects: B1, R1
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Alpaydın, E. (2010). Introduction to machine learning. MIT Press, second edition.
    • Ankeny, R. and Leonelli, S. (2011). What's so special about model organisms? Studies in History and Philosophy of Science, 42:313-323.
    • Bernard, C. (1865). An Introduction to the Study of Experimental Medicine (1949). Henry Schuman.
    • Bonassi, S., Hagmar, L., Strömberg, U., Montagud, A. H., Tinnerberg, H., Forni, A., Heikkilä, P., Wanders, S., Wilhardt, P., Hansteen, I.-L., Knudsen, L. E., and Norppa, H. (2000). Chromosomal aberrations in lymphocytes predict human cancer independently of exposure to carcinogens. Cancer Research, 60(6):1619- 1625.
    • Casini, L., Illari, P. M., Russo, F., and Williamson, J. (2011). Models for prediction, explanation and control: recursive Bayesian networks. Theoria, 26(1):5-33.
    • Clarke, B. (2011). Causality in medicine with particular reference to the viral causation of cancers. PhD thesis, Department of Science and Technology Studies, University College London, London.
    • Clarke, B., Gillies, D., Illari, P., Russo, F., and Williamson, J. (2014a). Mechanisms and the evidence hierarchy. Topoi, 33(2):339-360.
    • Clarke, B., Leuridan, B., and Williamson, J. (2014b). Modelling mechanisms with causal cycles. Synthese, 191(8):1651-1681.
    • Cronkite, E., Bullis, J., Inoue, T., and Drew, R. (1984). Benzene inhalation produces leukemia in mice. Toxicology and Applied Pharmacology, 75(2):358-361.
    • Darby, G. and Williamson, J. (2011). Imaging technology and the philosophy of causality. Philosophy & Technology, 24(2):115-136.
    • Darwiche, A. (2009). Modeling and reasoning with Bayesian networks. Cambridge University Press, New York.
    • Djulbegovic, B., Hozo, I., and Ioannidis, J. P. A. (2014). Improving the drug development process: More not less randomized trials. Journal of the American Medical Association, 311(4):355-356.
    • Eastmond, D., Schuler, M., Frantz, C., Chen, H., Parks, R., Wang, L., and Hasegawa, L. (2001). Characterization and mechanisms of chromosomal alterations induced by benzene in mice and humans. Research Report, Health Effects Institute, 103:1-68.
    • Frigg, R. and Hartmann, S. (2005). Scientific models. In Sarkar, S., editor, The Philosophy of Science: An Encyclopedia, pages 740-749. Taylor & Francis.
    • Gillies, D. A. (2011). The Russo-Williamson thesis and the question of whether smoking causes heart disease. In Illari, P. M., Russo, F., and Williamson, J., editors, Causality in the Sciences, pages 110-125. Oxford University Press, Oxford.
    • Goldstein, B., Snyder, C., Laskin, S., Bromberg, I., Albert, R., and Nelson, N. (1982). Myelogenous leukemia in rodents inhaling benzene. Toxicology Letters, 13(3-4):169- 173.
    • Hirst, J. A., Howick, J., Aronson, J. K., Roberts, N., Perera, R., Koshiaris, C., and Heneghan, C. (2014). The need for randomization in animal trials: An overview of systematic reviews. PLoS ONE, 9(6):1-11.
    • Holmes, F. (1993). The old martyr of science: The frog in experimental physiology. Journal of the History of Biology, 26:311-328.
    • Illari, P. M., Russo, F., and Williamson, J., editors (2011). Causality in the sciences. Oxford University Press, Oxford.
    • Illari, P. M. and Williamson, J. (2012). What is a mechanism? thinking about mechanisms across the sciences. European Journal for Philosophy of Science, 2:119-135.
    • Infante, P. F., Wagoner, J. K., Rinsky, R. A., and Young, R. J. (1977). Leukaemia in benzene workers. The Lancet, 310(8028):76-78.
    • Kohler, R. (1994). Lords of the Fly: Drosophila Genetics and the Experimental Life. University of Chicago Press.
    • LaFollette, H. and Shanks, N. (1997). Brute Science: Dilemmas of Animal Experimentation. Routledge.
    • Levy, A. and Currie, A. (2015). Model organisms are not (theoretical) models. British Journal for the Philosophy of Science, 66:327-348.
    • Machamer, P., Darden, L., and Craver, C. (2000). Thinking about mechanisms. Philosophy of Science, 67:1-25.
    • Mäki, U. (2001). Models: Philosophical aspects. In International Encyclopedia of the Social and Behavioural Sciences, volume 15, pages 9931-9937. Elsevier.
    • Nagl, S., Williams, M., and Williamson, J. (2008). Objective Bayesian nets for systems modelling and prognosis in breast cancer. In Holmes, D. and Jain, L., editors, Innovations in Bayesian networks: theory and applications, pages 131-167. Springer, Berlin.
    • Neapolitan, R. E. (2004). Learning Bayesian networks. Pearson / Prentice Hall, Upper Saddle River NJ.
    • Pearl, J. (2000). Causality: models, reasoning, and inference. Cambridge University Press, Cambridge.
    • Reichenbach, H. (1956). The direction of time. University of California Press, Berkeley and Los Angeles, 1971 edition.
    • Rinsky, R., Young, R., and Smith, A. (1981). Leukemia in benzene workers. American Journal of Industrial Medicine, 2(3):217-245.
    • Russo, F. and Williamson, J. (2007). Interpreting causality in the health sciences. International Studies in the Philosophy of Science, 21(2):157-170.
    • Russo, F. and Williamson, J. (2011). Generic versus single-case causality: the case of autopsy. European Journal for Philosophy of Science, 1(1):47-69.
    • Russo, F. and Williamson, J. (2012). Envirogenomarkers: The interplay between mechanisms and difference making in establishing causal claims. Medicine Studies, 3:249-262.
    • Salmon, W. C. (1998). Causality and explanation. Oxford University Press, Oxford.
    • Schulte, P. and Perera, F., editors (1993). Molecular Epidemiology: Principles and Practices. Academic Press.
    • Spirtes, P., Glymour, C., and Scheines, R. (1993). Causation, Prediction, and Search. MIT Press, Cambridge MA, second (2000) edition.
    • Taylor, R. C., Cullen, S. P., and Martin, S. J. (2008). Apoptosis: controlled demolition at the cellular level. Nature Reviews Molecular Cell Biology, 9(3):231-241.
    • Vineis, P. and Perera, F. (2007). Molecular epidemiology and biomarkers in etiologic cancer research. Cancer Epidemiology, Biomarkers and Prevention, 16:1954-1965.
    • Weber, M. (2005). Philosophy of Experimental Biology. Cambridge University Press.
    • Williamson, J. (2005). Objective Bayesian nets. In Artemov, S., Barringer, H., d'Avila Garcez, A. S., Lamb, L. C., and Woods, J., editors, We Will Show Them! Essays in Honour of Dov Gabbay, volume 2, pages 713-730. College Publications, London.
    • Williamson, J. (2013). How can causal explanations explain? Erkenntnis, 78:257-275.
    • Zhang, L., Rothman, N., Li, G., Guo, W., Yang, W., Hubbard, A. E., Hayes, R. B., Yin, S., Lu, W., and Smith, M. T. (2007). Aberrations in chromosomes associated with lymphoma and therapy-related leukemia in benzene-exposed workers. Environmental and Molecular Mutagenesis, 48(6):467-474.
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