Report from efficacy subgroup MR methodology workshop

✍ Scribed by Dr. William C. Black; Craig A. Beam; Joseph Camaratta; James Hanley; David Malenka; Mitchell Sugarman; John R. Thornbury; Robert F. Wagner

• Book ID: 102373065
• Publisher: John Wiley and Sons
• Year: 1996
• Tongue: English
• Weight: 394 KB
• Volume: 6
• Category: Article
• ISSN: 1053-1807
• DOI: 10.1002/jmri.1880060102

✦ Synopsis

For decision analysis to have practical value, the clinical problem must be accurately modeled. Decision analysis begins with a description of a decision between alternative choices and their downstream consequences, usually depicted as a branching tree emanating from a decision node (Fig 1). In the case of a diagnostic test, the alternatives may be to use a new test versus and old test or no test, or to use a test in a new versus old way. The "outcomes" of a decision are associated with values related to the patients and society. Values related to the patients are most commonly expressed in terms of quality-adjusted life expectancy 1 (QALE] and depend on several factors, including the