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References

  • 1
    Heller RF, Saltzstein HD, Caspe W. Heuristics in medical and non-medical decision making. Q J Exp Psychol 1992;44A (2):22135.
  • 2
    Dawson NV, Arkes HR, Siciliano C, Blinkhorn R, Lakshmanan M, Petrelli M. Hindsight bias: an impediment to accurate probability estimation in clinicopathologic conferences. Med Decis Making 1988;8:25964.
  • 3
    Tversky A, Kahneman D. Judgement under uncertainty: heuristics and biases. Science 1974;185:112431.
  • 4
    Kahneman D, Tversky A. Subjective probability: a judgement of representativeness. Cognit Psychol 1972;3:43054.
  • 5
    Tversky A, Kahneman D. Availability: a heuristic for judging frequency and probability. Cognit Psychol 1973;5:20732.
  • 6
    Bornstein BH, Emler AC. Rationality in medical decision making: a review of the literature on doctors’ decision-making biases. J Eval Clin Pract 2001;7 (2):97107.
  • 7
    Klein JG. Five pitfalls in decisions about diagnosis and prescribing. BMJ 2005;330:7813.
  • 8
    Detmer DE, Fryback DG, Gassner K. Heuristics and biases in medical decision making. J Med Educ 1978;53:6823.
  • 9
    Elstein AS. Heuristics and biases: selected errors in clinical reasoning. Acad Med 1999;74:7914.
  • 10
    DeMiguel V, Garlappi L, Uppal R. Optimal versus naive diversification: how inefficient is the 1/N portfolio strategy? Rev Financ Stud 2009;in press, doi: DOI: 10.1093/rfs/hhm1075.
  • 11
    Brighton H. Robust inference with simple cognitive models. In: LebiereC, WrayR, eds. Between a Rock and a Hard Place: Cognitive Science Principles meet AI-Hard Problems. Association for the Advancement of Artificial Intelligence Spring Symposium; Technical Report SS-06-03. Menlo Park, CA: AAAI Press 2006;1722.
  • 12
    Brighton H, Gigerenzer G. Bayesian brains and cognitive mechanisms: harmony or dissonance? In: ChaterN, OaksfordM, eds. The Probabilistic Mind: Prospects for Bayesian Cognitive Science. New York, NY: Oxford University Press 2008;189208.
  • 13
    Czerlinski J, Gigerenzer G, Goldstein DG. How good are simple heuristics? In: GigerenzerG, ToddPM, ABC Research Group, eds. Simple Heuristics that Make us Smart. New York, NY: Oxford University Press 1999;97118.
  • 14
    Reyna VF, Lloyd FJ. Physician decision making and cardiac risk: effects of knowledge, risk perception, risk tolerance, and fuzzy processing. J Exp Psychol Appl 2006;12 (3):17995.
  • 15
    Green LA, Mehr DR. What alters physicians’ decisions to admit to the coronary care unit? J Fam Pract 1997;45:21926.
  • 16
    Pozen MW, D’Agostino RB, Selker HP, Sytkowski PA, Hood WB. A predictive instrument to improve coronary-care-unit admission practices in acute ischaemic heart disease. N Engl J Med 1984;310:12738.
  • 17
    Corey GA, Merenstein JH. Applying the acute ischaemic heart disease predictive instrument. J Fam Pract 1987;25:12733.
  • 18
    Pearson SD, Goldman L, Garcia TB, Cook EF, Lee TH. Physician response to a prediction rule for the triage of emergency department patients with chest pain. J Gen Intern Med 1994;9:2417.
  • 19
    Martignon L, Katsikopoulos KV, Woike JK. Categorisation with limited resources: a family of simple heuristics. J Math Psychol 2008;52:352–61.
  • 20
    Fischer JE, Steiner F, Zucol F, Berger C, Martignon L, Bossart W, Altwegg M, Nadal D. Use of simple heuristics to target macrolide prescription in children with community-acquired pneumonia. Arch Pediatr Adolesc Med 2002;156:10058.
  • 21
    Martin JM, Green M, Barbadora KA, Wald ER. Erythromycin-resistant group A streptococci in schoolchildren in Pittsburgh. N Engl J Med 2002;346:12006.
  • 22
    Katsikopoulos KV, Pachur T, Machery E, Wallin A. From Meehl to fast and frugal heuristics (and back): new insights into how to bridge the clinical−actuarial divide. Theory Psychol 2008;18 (4):44364.
  • 23
    Hertwig R, Todd PM. More is not always better: the benefits of cognitive limits. In: HardmanD, MacchiL. The Psychology of Reasoning and Decision Making: a Handbook. Chichester: Wiley 2003:21331.
  • 24
    Gaissmaier W, Schooler LJ, Mata R. An ecological perspective to cognitive limits: modelling environment−mind interactions with ACT-R. Judgment Decis Making 2008;3:27891.
  • 25
    Elman JL. Learning and development in neural networks: the importance of starting small. Cognition 1993;48:7199.
  • 26
    Luria AR. The Mind of a Mnemonist. Cambridge, MA: Harvard University Press 1968.
  • 27
    Bookstaber R, Langsam J. On the optimality of coarse behaviour rules. J Theor Biol 1985;116:16193.
  • 28
    Pitt MA, Myung IJ, Zhang S. Toward a method of selecting among computational models of cognition. Psychol Rev 2002;109:47291.
  • 29
    Gigerenzer G, Todd PM, ABC Research Group. Simple Heuristics that Make us Smart. New York, NY: Oxford University Press 1999.
  • 30
    Brighton H, Gigerenzer G. How heuristics exploit uncertainty. In: ToddPM, GigerenzerG, ABC Research Group, eds. Ecological Rationality: Intelligence in the World. New York, NY: Oxford University Press. In press.
  • 31
    Shanteau J. How much information does an expert use? Is it relevant? Acta Psychol 1992;81:7586.
  • 32
    Beilock SL, Carr TH, MacMahon C, Starkes JL. When paying attention becomes counterproductive: impact of divided versus skill-focused attention on novice and experienced performance of sensorimotor skills. J Exp Psychol Appl 2002;8:616.
  • 33
    Johnson JG, Raab M. Take the first: option generation and resulting choices. Organ Behav Hum Decis Process 2003;91:21529.
  • 34
    Akaike H. Information theory and an extension of the maximum likelihood principle. In: PetrovBN, CsákiF, eds. Second International Symposium on Information Theory. Budapest: Akedemiai Kiado 1973;26781.
  • 35
    Foster M, Sober E. How to tell when simpler, more unified, or less ad hoc theories will provide more accurate predictions. Br J Philos Sci 1994;45:135.
  • 36
    Geman SE, Bienenstock E, Doursat R. Neural networks and the bias/variance dilemma. Neural Comput 1992;4:158.
  • 37
    Marewski JN, Olsson H. Beyond the null ritual: formal modelling of psychological processes. J Psychol 2009;217:4960.
  • 38
    Pachur T, Bröder A, Marewski J. The recognition heuristic in memory-based inference: is recognition a non-compensatory cue? J Behav Decis Making 2008;21:183210.
  • 39
    Dieckmann A, Rieskamp J. The influence of information redundancy on probabilistic inferences. Mem Cognit 2007;35:180113.
  • 40
    Elwyn GJ, Edwards A, Eccles M, Rovner D. Decision analysis in patient care. Lancet 2001;358:5714.
  • 41
    Engel C, Gigerenzer G. Law and heuristics: an interdisciplinary venture. In: GigerenzerG, EngelC, eds. Heuristics and the Law. Cambridge, MA: MIT Press 2006;116.
  • 42
    McDonald C. Medical heuristics: the silent adjudicators of clinical practice. Ann Intern Med 1996;124:5662.