Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

SAGETRACK

Sign In to gain access to subscriptions and/or personal tools.
Medical Decision Making
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Hartz, A.
Right arrow Articles by Henck, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hartz, A.
Right arrow Articles by Henck, S.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

Stochastic Thresholds

Arthur Hartz, MD, PhD

W.Paul McKINNEY, MD

Robert Centor, MD

Arthur Krieg, MD

George Simms, MD, PhD

Samuel Henck, MD

Thresholds have traditionally been represented by a single number; the optimal management of the patient depends on whether his probability of disease is above or below this number. The concept of a threshold as a single number, however, inadequately represents the treat ment approach of a group of physicians who do not all have the same threshold or a single physician who is uncertain about the exact value of the threshold. An alternative to a single valued threshold is to consider the threshold as having a probability distribution: for every probability that the patient has the disease there is a probability that the threshold is exceeded. This "stochastic" threshold model contains information about the uncertainty of the threshold estimation. Stochastic thresholds can be useful for testing the sensitivity of a management decision to the patient's probability of disease. They can also be used for comparing the standards of practice of individual physicians or comparing the practice of an individual physician with that of a group.

Key Words: Key words: stochastic threshold model. (Med Decis Making 6:145-148 • 1986)

Medical Decision Making, Vol. 6, No. 3, 145-148 (1986)
DOI: 10.1177/0272989X8600600303


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Med Decis MakingHome page
R. M. Poses, R. D. Cebul, and R. S. Wigton
You Can Lead a Horse to Water-Improving Physicians' Knowledge of Probabilities May Not Affect Their Decisions
Med Decis Making, February 1, 1995; 15(1): 65 - 75.
[Abstract] [PDF]


Home page
Med Decis MakingHome page
C. M. Plasencia, B. W. Alderman, A. E. Baron, R. T. Rolfs, and E. J. Boyko
A Method to Describe Physician Decision Thresholds and Its Application in Examining the Diagnosis of Coronary Artery Disease Based on Exercise Treadmill Testing
Med Decis Making, August 1, 1992; 12(3): 204 - 212.
[Abstract] [PDF]