Non-inferiority trials: the 'at least as good as' criterion with dichotomous data

The ‘at least as good as’ criterion, introduced by Laster and Johnson for a continuous response variate, is developed here for applications with dichotomous data. This approach is adaptive in nature, as the margin of non‐inferiority is not taken as a fixed difference; it varies as a function of the...

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Veröffentlicht in:Statistics in medicine 2006-04, Vol.25 (7), p.1115-1130
Hauptverfasser: Laster, Larry L., Johnson, Mary F., Kotler, Mitchell L.
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Sprache:eng
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Zusammenfassung:The ‘at least as good as’ criterion, introduced by Laster and Johnson for a continuous response variate, is developed here for applications with dichotomous data. This approach is adaptive in nature, as the margin of non‐inferiority is not taken as a fixed difference; it varies as a function of the positive control response. When the non‐inferiority margin is referenced as a high fraction of the positive control response, the procedure is seen to be uniformly more efficient than the fixed margin approach, yielding smaller sample sizes when sizing non‐inferiority trials under identically specified conditions. Extending this method to proportions is straightforward, but highlights special considerations in the design of non‐inferiority trials versus superiority trials, including potential trade‐offs in statistical efficiency and interpretability. Copyright © 2005 John Wiley & Sons, Ltd.
ISSN:0277-6715
1097-0258
DOI:10.1002/sim.2476