A Multiattribute-utility-function Approach to Weighing the Risks and Benefits of Pharmaceutical Agents
Stuart Eriksen and
L. Robin Keller
Medical Decision Making, 1993, vol. 13, issue 2, 118-125
Abstract:
Both the selection of doses of pharmaceutical agents and comparisons between pharma ceutical agents have long been based on the nonquantified concept of the risk-benefit ratio. Though useful, this concept implies a data comparison that is difficult to make: the toxicity versus the efficacy of a drug compound. This research demonstrates an approach for weigh ing risks and benefits by combining utility functions for human efficacy and toxicity with animal and laboratory toxicity information to develop an overall multiattribute utility function for an ophthalmic pharmaceutical agent, I-bunolol, intended for the treatment of glaucoma. With this multiattribute function and a small portion of the published data available for this drug, the expected utilities for six doses (including a control) could be compared and the value of this approach in drug-dosage selection demonstrated. Key words: decision analysis; expected utility; dosage selection; compound comparison; pharmaceutical decision; mul tiattribute utility; risk-benefit ratio. (Med Decis Making 1993;13:118-125)
Date: 1993
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0272989X9301300205 (text/html)
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:sae:medema:v:13:y:1993:i:2:p:118-125
DOI: 10.1177/0272989X9301300205
Access Statistics for this article
More articles in Medical Decision Making
Bibliographic data for series maintained by SAGE Publications ().