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Activity Number:
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158
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Type:
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Invited
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Date/Time:
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Tuesday, August 13, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section*
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| Abstract - #300024 |
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Title:
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Determination of the Statistical Frontier in a Cost-effectiveness Analysis
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Author(s):
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Eugene Laska*+ and Morris Meisner and Carole Siegel and Joseph Wanderling
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Affiliation(s):
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Nathan Kline Institue, NYU School of Medicine and Nathan Kline Institue, NYU School of Medicine and Nathan Kline Institue, NYU School of Medicine and Nathan Kline Institue, NYU School of Medicine
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Address:
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140 Old Orangeburg Road, Orangeburg, New York, 10962, USA
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Keywords:
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net health benefit ; pointwise error rate ; cost-effectiveness ; statistical frontier ; familywise error rate
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Abstract:
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Statistical methods are given for producing a cost-effectiveness frontier for an arbitrary number of programs. In the deterministic case, the net health benefit (NHB) decision rule is optimal; the rule funds the program with the largest positive NHB at each lambda--the amount a decision-maker is willing to pay for an additional unit of effectiveness. For bivariate, normally distributed cost and effectiveness variables and a specified lambda, a statistical procedure is presented, based on the method of constrained multiple comparisons with the best (CMCB) for determining the program with the largest NHB. A one-tailed t test is used to determine if the NHB is positive. To obtain a statistical frontier in the lambda-NHB plane, we develop a method to produce the region in which each program has the largest NHB, by pivoting a CMCB confidence interval. At each lambda, the pointwise error rate is bounded by a prespecified alpha. Upper bounds on the familywise error rate--the probability of an error at any value of lambda--are given.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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