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Activity Number:
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238
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 8, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #305566 |
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Title:
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Nonparametric Statistical Methods for a Cost-Effectiveness Analysis
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Author(s):
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Phillip Dinh*+ and Xiao-Hua Andrew Zhou
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Companies:
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University of Washington and University of Washington
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Address:
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Department of Biostatistics, Seattle, WA, 98195,
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Keywords:
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confidence intervals ; cost-effectiveness analysis ; edgeworth expansion ; incremental cost-effectiveness ratio ; net health benefit ; skewness
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Abstract:
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Two measures often used in a cost-effectiveness analysis are the incremental cost-effectiveness ratio (ICER) and the net health benefit (NHB). Inferences on these quantities often are hindered by highly skewed cost data. In this paper, we derived the Edgeworth expansions for the studentized t-statistics for the two measures and showed how they could be used to guide inferences. We used the expansions to study the theoretical performance of existing confidence intervals based on normal theory and to derive new confidence intervals for the ICER and NHB. We conducted a simulation study to compare our new intervals with several existing methods. We found that our new intervals give good coverage accuracy and are narrower.
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