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Activity Number:
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417
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Type:
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Contributed
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Date/Time:
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Wednesday, August 9, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Health Policy Statistics
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| Abstract - #305558 |
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Title:
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The Impact of Using Different Imputation Methods for Missing Quality-of-Life Scores on the Estimation of the Cost-Effectiveness of Lung Volume Reduction Surgery
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Author(s):
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David Blough*+ and Sean Sullivan and Scott Ramsey and Roger Yusen
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Companies:
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University of Washington and University of Washington and Fred Hutchinson Cancer Research Center and Washington University School of Medicine
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Address:
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Department of Pharmacy, Seattle, WA, 98195,
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Keywords:
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cost effectiveness analysis ; missing data ; imputation
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Abstract:
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Imputation methods were compared using a prospective cost-effectiveness analysis conducted alongside a randomized controlled trial (National Emphysema Treatment Trial). The trial compared lung volume reduction surgery plus medical therapy to medical therapy alone in patients with severe chronic obstructive pulmonary disease. Cost per quality-adjusted life-year gained was obtained, using the Quality of Well Being questionnaire. Different methods of imputation for missing quality-of-life data resulted in substantial differences in cost effectiveness ratios and differences in estimates of the uncertainty in the point estimates as reflected in the acceptability curves. Paradoxically, the use of a conservative single imputation method resulted in relatively less uncertainty. We recommend using a minimum of two imputation methods that always include multiple imputation.
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