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Cost-effectiveness in the hospital is currently estimated by decision tree analysis.
The tested methods included expert knowledge, decision tree analysis, principal component analysis, and principal component regression.
The test sequence toolset based on engineering data was set up through the method of hierarchical decision tree analysis.
A decision tree analysis was used to classify structural variables of the vegetation according to their effect on carabids.
The decision tree analysis identified the DIS strategy as the superior one with 2.34 QALY versus 2.26 QALY for the ACLR branch.
However, the most serious weakness of decision tree analysis is that the results can be unstable because small initial variations can lead to substantially different solutions.
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Various studies have reported that a decision-tree analysis is useful to evaluate different treatment strategies in real clinical practice.
Decision-tree analysis was used to create groups with homogeneous resource utilization.
The study used a decision-tree analysis that comprised five strategies (see Fig. 1).
The differences among these groups were studied using a decision-tree analysis.
Decision-tree analysis was performed using SAS Enterprise Miner software (Carey, NC).
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