Using Decision Analysis to Choose Phosphorus Targets for Lake Erie

2001 ◽  
Vol 27 (2) ◽  
pp. 235-252 ◽  
Author(s):  
Richard M. Anderson ◽  
Benjamin F. Hobbs ◽  
Joseph F. Koonce ◽  
Ana B. Locci
Keyword(s):  
Decision Analysis ◽  
Lake Erie

84: A Decision Analysis of Treatments for Nonobstructive Azoospermia Associated with Varicocele

2007 ◽  
Vol 177 (4S) ◽  
pp. 29-30
Author(s):  
Richard Lee ◽  
Mark A. Callahan ◽  
Glen Schattman ◽  
Philip S. Li ◽  
Marc Goldstein ◽  
...  
Keyword(s):  
Decision Analysis ◽  
Nonobstructive Azoospermia

Automated Development of Clinical Strategies Using Multistage Decision Analysis

1986 ◽  
Vol 25 (04) ◽  
pp. 207-214 ◽  
Author(s):  
P. Glasziou
Keyword(s):  
Decision Tree ◽  
Decision Analysis ◽  
Decision Trees ◽  
Optimal Strategy ◽  
Cholestatic Jaundice ◽  
Clinical Strategies ◽  
Simultaneous Study

SummaryThe development of investigative strategies by decision analysis has been achieved by explicitly drawing the decision tree, either by hand or on computer. This paper discusses the feasibility of automatically generating and analysing decision trees from a description of the investigations and the treatment problem. The investigation of cholestatic jaundice is used to illustrate the technique.Methods to decrease the number of calculations required are presented. It is shown that this method makes practical the simultaneous study of at least half a dozen investigations. However, some new problems arise due to the possible complexity of the resulting optimal strategy. If protocol errors and delays due to testing are considered, simpler strategies become desirable. Generation and assessment of these simpler strategies are discussed with examples.

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