Evaluating physicians' probabilistic judgments.

@article{Poses1988EvaluatingPP,
  title={Evaluating physicians' probabilistic judgments.},
  author={Roy M. Poses and Randall D. Cebul and Robert M. Centor},
  journal={Medical decision making : an international journal of the Society for Medical Decision Making},
  year={1988},
  volume={8 4},
  pages={233-40}
}
Physicians increasingly are challenged to make probabilistic judgments quantitatively. Their ability to make such judgments may be directly linked to the quality of care they provide. Many methods are available to evaluate these judgments. Graphic means of assessment include the calibration curve, covariance graph, and receiver operating characteristic (ROC) curve. Statistical tools can measure the significance of departures from ideal calibration, and measure the area under ROC curve. Modeling… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

Relationship between Brier score and area under the binormal ROC curve

Computer Methods and Programs in Biomedicine • 2002
View 5 Excerpts
Highly Influenced

Concordance of Nurses and Physicians on Whether Critical Care Patients are Receiving Futile Treatment.

American journal of critical care : an official publication, American Association of Critical-Care Nurses • 2015

Ara h 2 is the best predictor for peanut allergy in adults.

The journal of allergy and clinical immunology. In practice • 2013
View 1 Excerpt

Similar Papers

Loading similar papers…