Notes
Meanwhile, other researchers have shown that the frequency terminology is not even necessary to foster accurate responses, as long as the right kind of nested structure is conveyed in the representation of the problem [3].
References
Eddy DM (1982) Probabilistic reasoning in clinical medicine: problems and opportunities. In: Kahneman D, Slovic P, Tversky A (eds) Judgment under uncertainty: heuristics and biases. Cambridge University Press, Cambridge, pp 249–267
Hoffrage U, Lindsey S, Hertwig R, Gigerenzer G (2000) Communicating statistical information. Science 290:2261–2262
Girotto V, Gonzalez M (2001) Solving probabilistic and statistical problems: a matter of information structure and question form. Cognition 78:247–276
Harris M, Taylor G (2014) Medical statistics made easy, 3rd edn. Taylor & Francis, London
Redelmeier DA, Ferris LE, Tu JV, Hux JE, Schull MJ (2001) Problems for clinical judgment: introducing cognitive psychology as one more basic science. CMAJ 164:358–360
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Crupi, V., Elia, F. & Aprà, F. Understanding and improving decisions in clinical medicine (III): towards cognitively informed clinical thinking. Intern Emerg Med 13, 449–451 (2018). https://doi.org/10.1007/s11739-017-1763-0
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DOI: https://doi.org/10.1007/s11739-017-1763-0