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  1. Integrating evidence into clinical practice: an alternative to evidenceā€based approaches.Mark R. Tonelli - 2006 - Journal of Evaluation in Clinical Practice 12 (3):248-256.
    Evidence-based medicine (EBM) has thus far failed to adequately account for the appropriate incorporation of other potential warrants for medical decision making into clinical practice. In particular, EBM has struggled with the value and integration of other kinds of medical knowledge, such as those derived from clinical experience or based on pathophysiologic rationale. The general priority given to empirical evidence derived from clinical research in all EBM approaches is not epistemically tenable. A casuistic alternative to EBM approaches recognizes that five (...)
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  • Casuistry: An Alternative or Complement to Principles?Albert R. Jonsen - 1995 - Kennedy Institute of Ethics Journal 5 (3):237-251.
    Casuistry is a traditional method of interpreting and resolving moral problems. It focuses on the circumstances of particular cases rather than on the application of ethical theories and principles. After a brief history of casuistry, the method is explained and its relation to theory and principles is discussed.
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  • The Risk GP Model: The Standard Model of Prediction in Medicine.Jonathan Fuller & Luis J. Flores - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:49-61.
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  • The Risk GP Model: The standard model of prediction in medicine.Jonathan Fuller & Luis J. Flores - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 54:49-61.
    With the ascent of modern epidemiology in the Twentieth Century came a new standard model of prediction in public health and clinical medicine. In this article, we describe the structure of the model. The standard model uses epidemiological measures-most commonly, risk measures-to predict outcomes (prognosis) and effect sizes (treatment) in a patient population that can then be transformed into probabilities for individual patients. In the first step, a risk measure in a study population is generalized or extrapolated to a target (...)
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