Cost-effectiveness analysis with unordered decisions
Introduction Cost-effectiveness analysis (CEA) is used increasingly in medicine to determine
whether the health benefit of an intervention is worth the economic cost. Decision trees, the
standard decision modeling technique for non-temporal domains, can only perform CEAs for
very small problems. Influence diagrams can model much larger problems, but only when
the decisions are totally ordered. Objective To develop a CEA method for problems with
unordered or partially ordered decisions, such as finding the optimal sequence of tests for …
whether the health benefit of an intervention is worth the economic cost. Decision trees, the
standard decision modeling technique for non-temporal domains, can only perform CEAs for
very small problems. Influence diagrams can model much larger problems, but only when
the decisions are totally ordered. Objective To develop a CEA method for problems with
unordered or partially ordered decisions, such as finding the optimal sequence of tests for …
Cost-effectiveness analysis with unordered decisions
FJ Díez Vegas, M Luque Gallego, M Arias Calleja… - 2021 - e-spacio.uned.es
Introduction Cost-effectiveness analysis (CEA) is used increasingly in medicine to determine
whether the health benefit of an intervention is worth the economic cost. Decision trees, the
standard decision modeling technique for non-temporal domains, can only perform CEAs for
very small problems. Influence diagrams can model much larger problems, but only when
the decisions are totally ordered. Objective To develop a CEA method for problems with
unordered or partially ordered decisions, such as finding the optimal sequence of tests for …
whether the health benefit of an intervention is worth the economic cost. Decision trees, the
standard decision modeling technique for non-temporal domains, can only perform CEAs for
very small problems. Influence diagrams can model much larger problems, but only when
the decisions are totally ordered. Objective To develop a CEA method for problems with
unordered or partially ordered decisions, such as finding the optimal sequence of tests for …
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