Practice of Management Science---Patient States and the Technology Matrix

Richard M. Burton, William W. Damon and David C. Dellinger
Additional contact information
Richard M. Burton: Duke University, North Carolina
William W. Damon: Duke University, North Carolina
David C. Dellinger: Duke University, North Carolina

Interfaces, 1975, vol. 5, issue 4, 43-53

Abstract: This paper describes the procedure used to estimate transition probabilities from a combination of expert judgment and empirical evidence using a Bayesian model. The matrix of transition probabilities (called the Technology Matrix) represents the Markovian process by which changes in states (Patient States) occur in the target population subsequent to receiving a specified treatment (Service Package). The overall model in which the Technology Matrix is embedded is described briefly. The data collection process and limitations on data are outlined and the Bayesian procedure is developed. Results obtained from initial observations are used to illustrate the procedure.

Date: 1975
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/inte.5.4.43 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:orinte:v:5:y:1975:i:4:p:43-53

Access Statistics for this article

More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().