Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Click here for more information

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
Right arrow Citation Map
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 Parmigiani, G.
Right arrow Articles by Matchar, D. B.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Parmigiani, G.
Right arrow Articles by Matchar, D. B.
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?

Other

Assessing Uncertainty in Cost-Effectiveness Analyses

Application to a Complex Decision Model

Giovanni Parmigiani, PhD

Greg P. Samsa, PhD

Marek Ancukiewicz, PhD

Joseph Lipscomb, PhD

Vic Hasselblad, PhD

David B. Matchar, MD

A framework for quantifying uncertainty about costs, effectiveness measures, and mar ginal cost-effectiveness ratios in complex decision models is presented. This type of application requires special techniques because of the multiple sources of information and the model-based combination of data. The authors discuss two alternative ap proaches, one based on Bayesian inference and the other on resampling. While com putationally intensive, these are flexible in handling complex distributional assumptions and a variety of outcome measures of interest. These concepts are illustrated using a simplified model. Then the extension to a complex decision model using the stroke- prevention policy model is described. Key words: cost-effectiveness analysis; sto chastic models; decision analysis; simulation; stroke; cerebrovascular disease. (Med Decis Making 1997;17:390-401)

Medical Decision Making, Vol. 17, No. 4, 390-401 (1997)
DOI: 10.1177/0272989X9701700404
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
 J Health Serv Res PolicyHome page
A E Ades, N. J Welton, D. Caldwell, M. Price, A. Goubar, and G. Lu
Multiparameter evidence synthesis in epidemiology and medical decision-making
J Health Serv Res Policy, October 1, 2008; 13(suppl_3): 12 - 22.
[Abstract] [Full Text] [PDF]

Home page
 Med Decis MakingHome page
E. Fenwick, S. Palmer, K. Claxton, M. Sculpher, K. Abrams, and A. Sutton
An Iterative Bayesian Approach to Health Technology Assessment: Application to a Policy of Preoperative Optimization for Patients Undergoing Major Elective Surgery
Med Decis Making, September 1, 2006; 26(5): 480 - 496.
[Abstract] [PDF]

Home page
 Med Decis MakingHome page
N. J. Welton and A. E. Ades
Estimation of Markov Chain Transition Probabilities and Rates from Fully and Partially Observed Data: Uncertainty Propagation, Evidence Synthesis, and Model Calibration
Med Decis Making, November 1, 2005; 25(6): 633 - 645.
[Abstract] [PDF]

Home page
 BiostatisticsHome page
F. Dominici and S. L. Zeger
Smooth quantile ratio estimation with regression: estimating medical expenditures for smoking-attributable diseases
Biostat., October 1, 2005; 6(4): 505 - 519.
[Abstract] [Full Text] [PDF]

Home page
 Med Decis MakingHome page
A. P. Johnson-Masotti, P. W. Laud, R. G. Hoffmann, M. J. Hayat, and S. D. Pinkerton
A Bayesian Approach to Net Health Benefits: An Illustration and Application to Modeling HIV Prevention
Med Decis Making, November 1, 2004; 24(6): 634 - 653.
[Abstract] [PDF]

Home page
 Med Decis MakingHome page
A. H. Briggs, A. E. Ades, and M. J. Price
Probabilistic Sensitivity Analysis for Decision Trees with Multiple Branches: Use of the Dirichlet Distribution in a Bayesian Framework
Med Decis Making, July 1, 2003; 23(4): 341 - 350.
[Abstract] [PDF]

Home page
 Stat Methods Med ResHome page
N J Cooper, A J Sutton, and K R Abrams
Decision analytical economic modelling within a Bayesian framework: application to prophylactic antibiotics use for caesarean section
Statistical Methods in Medical Research, December 1, 2002; 11(6): 491 - 512.
[Abstract] [PDF]

Home page
 Stat Methods Med ResHome page
G Parmigiani
Measuring uncertainty in complex decision analysis models
Statistical Methods in Medical Research, December 1, 2002; 11(6): 513 - 537.
[Abstract] [PDF]

Home page
 Med Decis MakingHome page
A. H. Briggs, R. Goeree, G. Blackhouse, and B. J. O'Brien
Probabilistic Analysis of Cost-Effectiveness Models: Choosing between Treatment Strategies for Gastroesophageal Reflux Disease
Med Decis Making, August 1, 2002; 22(4): 290 - 308.
[Abstract] [PDF]

Home page
 Med Decis MakingHome page
J. Lipscomb, M. Ancukiewicz, G. Parmigiani, V. Hasselblad, G. Samsa, and D. B. Matchar
Predicting the Cost of Illness: A Comparison of Alternative Models Applied to Stroke
Med Decis Making, April 1, 1998; 18(2): S39 - S56.
[Abstract] [PDF]