1997
DOI: 10.1177/0272989x9701700304
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The Use of Confidence Intervals for Individual Utilities:

Abstract: This paper discusses the use of confidence intervals for utility measurements. Classic test theory is applied to estimate confidence intervals for utilities. The theory is enhanced to calculate confidence areas for combined utilities and confidence bands for the threshold line. As an example it is shown that, if confidence intervals are taken into account, the implied preferred treatment of T3-larynx carcinoma patients is uncertain for a wide range of utilities, considering the mediocre reliability of most met… Show more

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Cited by 7 publications
(4 citation statements)
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“…20 A mathematical decision analysis model utilizing confidence intervals for utility measurements in deciding between primary radiation and laryngectomy was unsuccessful due to the significant variability and uncertainty concerning specific oncologic and functional outcomes. 21 Another study created a software system designed to utilize a provider’s prior clinical decisions for laryngeal cancer patients to make future decisions. 22 This was limited by the need to explicitly define successful outcomes and by the inherent bias of the model.…”
Section: Discussionmentioning
confidence: 99%
“…20 A mathematical decision analysis model utilizing confidence intervals for utility measurements in deciding between primary radiation and laryngectomy was unsuccessful due to the significant variability and uncertainty concerning specific oncologic and functional outcomes. 21 Another study created a software system designed to utilize a provider’s prior clinical decisions for laryngeal cancer patients to make future decisions. 22 This was limited by the need to explicitly define successful outcomes and by the inherent bias of the model.…”
Section: Discussionmentioning
confidence: 99%
“…Initial branches of the tree include the three possible management options for severe RA wrist disease: non-operative management, TWA, and TWF (Fig. 1) [17]. A model in which the same procedure is associated with the largest expected gain in QALYs regardless of changes in model parameters is considered to be robust.…”
Section: Discussionmentioning
confidence: 99%
“…Similarly, a person with 12 remaining years of life would have a different expected gain in QALYs after a procedure than a person with 20 remaining years of life. Sensitivity analysis is therefore necessary to evaluate the robustness of a decision model [17]. A model in which the same procedure is associated with the largest expected gain in QALYs regardless of changes in model parameters is considered to be robust.…”
Section: Discussionmentioning
confidence: 99%
“…Sensitivity analysis is necessary to determine the robustness of the model. 21 We varied the remaining healthy years to assess how well our model holds up to large changes of this variable.…”
Section: Methodsmentioning
confidence: 99%