Adaptive controlled noninferiority group sequential trials

dc.contributor.authorHartung, Joachim
dc.contributor.authorKnapp, Guido
dc.date.accessioned2009-02-02T10:44:40Z
dc.date.available2009-02-02T10:44:40Z
dc.date.issued2009-02-02T10:44:40Z
dc.description.abstractFor studies comparing three independent arms: test group $T$, reference group $R$, and control group $C$, we consider the hierarchical testing of the a priori ordered hypotheses, that, in short, \begin{eqnarray*} \mbox{(I)}: &~& T > C, \\ \mbox{(II)}: &~& T > R - \Delta, \ \ \Delta > 0, \end{eqnarray*} in general adaptive group sequential designs. For normally distributed response variables with unknown variances, nested confidence intervals on the study parameters are derived at each stage of the trial, holding a predefined confidence level. During the course of the trial, the sample sizes can be calculated in a completely adaptive way based on the unblinded data of previous stages. Concrete formulae for sample size updating are provided in this paper. Moreover, in each interim analysis, it is possible to switch in the planning from showing noninferiority of $T$ in (II) to showing superiority of $T$, that is, $T > R$. A real data example is worked out in detail following an adaptive three-stage design of Pocock (1977) type. In the example, (I) is shown in the first stage and (II) in the second stage, so that the study stopped earlier at the second stage.en
dc.identifier.urihttp://hdl.handle.net/2003/26014
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-582
dc.language.isoen
dc.subjectadaptive sample size planningen
dc.subjectcontrolled noninferiority trialsen
dc.subjectgroup sequential confidence intervalsen
dc.subjecthierarchical testingen
dc.subjectswitching from noninferiority to superiorityen
dc.subject.ddc310
dc.titleAdaptive controlled noninferiority group sequential trialsen
dc.typeText
dc.type.publicationtypepreprint
dcterms.accessRightsopen access

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