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Probabilistic and multiple regression modeling of the biologist’s decision processes and its implications for medical diagnosis

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Abstract

Current psychological research into the inference (diagnostic) process is briefly reviewed, using as a vehicle an investigation of the prediction of the probability of success of hypothetical applicants to a graduate program in biology. Brunswik’s lens model and multiple regression analysis are used, as is a Bayesian approach. Four judges’ (biologists’) predictions are analyzed. Some general conclusions about inference, drawn from the current data in psychology, are presented.

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Authors and Affiliations

  1. Department of Psychology, Bowling Green State University, Bowling Green, Ohio

    Stuart M. Keeley & Michael E. Doherty

Authors
  1. Stuart M. Keeley
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  2. Michael E. Doherty
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Additional information

This investigation was supported by PHS Research Grant No. MH-17487-01 from the National Institute of Mental Health.

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Keeley, S.M., Doherty, M.E. Probabilistic and multiple regression modeling of the biologist’s decision processes and its implications for medical diagnosis. Bulletin of Mathematical Biophysics 33, 439–449 (1971). https://doi.org/10.1007/BF02476785

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  • DOI: https://doi.org/10.1007/BF02476785

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