Sample size calculation in economic evaluations

A simulation method is presented for sample size calculation in economic evaluations. As input the method requires: the expected difference and variance of costs and effects, their correlation, the significance level (α) and the power of the testing method and the maximum acceptable ratio of increme...

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Published inHealth economics Vol. 7; no. 4; pp. 327 - 335
Main Authors Al, Maiwenn J., Van Hout, Ben A., Michel, Bowine C., Rutten, Frans F.H.
Format Journal Article
LanguageEnglish
Published Chichester Wiley Subscription Services, Inc., A Wiley Company 01.06.1998
John Wiley & Sons, Ltd
SeriesHealth Economics
Subjects
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Summary:A simulation method is presented for sample size calculation in economic evaluations. As input the method requires: the expected difference and variance of costs and effects, their correlation, the significance level (α) and the power of the testing method and the maximum acceptable ratio of incremental effectiveness to incremental costs. The method is illustrated with data from two trials. The first compares primary coronary angioplasty with streptokinase in the treatment of acute myocardial infarction, in the second trial, lansoprazole is compared with omeprazole in the treatment of reflux oesophagitis. These case studies show how the various parameters influence the sample size. Given the large number of parameters that have to be specified in advance, the lack of knowledge about costs and their standard deviation, and the difficulty of specifying the maximum acceptable ratio of incremental effectiveness to incremental costs, the conclusion of the study is that from a technical point of view it is possible to perform a sample size calculation for an economic evaluation, but one should wonder how useful it is. © 1998 John Wiley & Sons, Ltd.
Bibliography:Hoechst Marion Roussel, the Netherlands
ark:/67375/WNG-MK2GMT22-6
istex:A2B750DCB2C8431FC648CFFE0C2AF8099ADD0A9D
Janssen-Cilag, the Netherlands
ArticleID:HEC342
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1057-9230
1099-1050
DOI:10.1002/(SICI)1099-1050(199806)7:4<327::AID-HEC342>3.0.CO;2-U