Abstract
This chapter questions the received view that in medical research extrapolation from animal models mainly consists in establishing mechanisms of human pathological states in organisms, thanks to a step by step comparison of causal pathways. Mechanistic extrapolation takes the form: (1) cause C brings out effect E in animal through causal pathway M, (2) M is similar in animals and humans, (3) therefore C will likely bring out E in humans. As the example of psychiatric research shows, such mechanistic extrapolation may be replaced by statistical extrapolation, an inference of the form: (1) An animal model A has been successful in predicting the effects E of drugs D1…Dn of a certain class; (2) A will be successful again in predicting the effects of a new drug Dn+1 of the same class. Statistical extrapolation relies on the predictive validity of a given animal model, without any knowledge of the mechanisms involved, on the sole ground of past successes of the model in predicting the effects of a class of drugs on their human target.
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Belzung, C., Billette de Villemeur, E., Lemoine, M. (2020). Mechanistic vs Statistical Extrapolation in Preclinical Research in Psychiatry: Challenging the Received View. In: LaCaze, A., Osimani, B. (eds) Uncertainty in Pharmacology. Boston Studies in the Philosophy and History of Science, vol 338. Springer, Cham. https://doi.org/10.1007/978-3-030-29179-2_4
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