2011
DOI: 10.2165/11587130-000000000-00000
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Sample Size Determination for Cost-Effectiveness Trials

Abstract: Methods for determining sample size requirements for cost-effectiveness studies are reviewed and illustrated. Traditional methods based on tests of hypothesis and power arguments are given for the incremental cost-effectiveness ratio and incremental net benefit (INB). In addition, a full Bayesian approach using decision theory to determine optimal sample size is given for INB. The full Bayesian approach, based on the value of information, is proposed in reaction to concerns that traditional methods rely on arb… Show more

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Cited by 23 publications
(22 citation statements)
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“…Thus, the final analysis included 200 patients. The sample size satisfied the requirements for the test of the validity of the questionnaire [ 20 , 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…Thus, the final analysis included 200 patients. The sample size satisfied the requirements for the test of the validity of the questionnaire [ 20 , 21 ].…”
Section: Methodsmentioning
confidence: 99%
“…The power to detect similar impacts on the secondary outcome parameters of cancellations will be higher due to higher baseline proportions. The power to detect the impact on sociodemographics will depend on the scaling and the relevant level of relative risk reduction [ 19 ].…”
Section: Methodsmentioning
confidence: 99%
“…The mean of all the individual (conditional) medians can be used as before for deriving QALYs. The mean is the statistic of choice for decisions relating to health technology assessment [ 35 , 36 ]. The population mean and median are approximately equal for normally distributed data.…”
Section: Methodsmentioning
confidence: 99%