Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here to browse AJSM online!

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 Doubilet, P.
Right arrow Articles by Weinstein, M. C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Doubilet, P.
Right arrow Articles by Weinstein, M. C.
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?

Optimal Strategies for the Diagnosis and Treatment of Coronary Artery Disease

Analysis Using Microcomputer

Peter Doubilet

Barbara J. McNeil

Milton C. Weinstein

A computer program has been developed to aid in diagnostic and therapeutic decisions concerning a patient with chest pain. It provides an analysis tailored to the individual patient, in that the data used in the analysis depend on specific patient characteristics. The user can elect to examine all stored data values (probabilities, quality-adjusted life expectancies, and monetary costs), and to alter any of them. Decisions at three stages in the patient workup are considered: prior to any diagnostic test, following an exercise tolerance test, and following coronary angiography. The results of the analysis can be displayed in several tabular and graphical formats. In addition, the program can carry out a Monte Carlo simulation (or probabilistic sensitivity analysis) to determine the effect of uncertainty in the data on the stability of the choice of optimal strategy. (Med Decis Making 3:23-28, 1983)

Medical Decision Making, Vol. 3, No. 1, 23-28 (1983)
DOI: 10.1177/0272989X8300300107


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
A. G. Chessa, R. Dekker, B. Van Vliet, E. W. Steyerberg, and J. D. F. Habbema
Correlations in Uncertainty Analysis for Medical Decision Making: An Application to Heart-valve Replacement
Med Decis Making, August 1, 1999; 19(3): 276 - 286.
[Abstract] [PDF]


Home page
Arch NeurolHome page
C. D. Koprowski, W. T. Longstreth Jr, and R. D. Cebul
Clinical Neuroepidemiology: III. Decisions
Arch Neurol, February 1, 1989; 46(2): 223 - 229.
[Abstract] [PDF]


Home page
ANN INTERN MEDHome page
J. P. KASSIRER, A. J. MOSKOWITZ, J. LAU, and S. G. PAUKER
Decision Analysis: A Progress Report
Ann Intern Med, February 1, 1987; 106(2): 275 - 291.
[Abstract] [PDF]