Simultaneous confidence intervals for an extended Koch-Röhmel design in three-arm non-inferiority trials.

Simultaneous confidence intervals adaptive test strategy optimal sample size ‘gold-standard’ non-inferiority trial

Journal

Statistical methods in medical research
ISSN: 1477-0334
Titre abrégé: Stat Methods Med Res
Pays: England
ID NLM: 9212457

Informations de publication

Date de publication:
09 2023
Historique:
medline: 5 10 2023
pubmed: 28 7 2023
entrez: 28 7 2023
Statut: ppublish

Résumé

Three-arm 'gold-standard' non-inferiority trials are recommended for indications where only unstable reference treatments are available and the use of a placebo group can be justified ethically. For such trials, several study designs have been suggested that use the placebo group for testing 'assay sensitivity', that is, the ability of the trial to replicate efficacy. Should the reference fail in the given trial, then non-inferiority could also be shown with an ineffective experimental treatment and hence becomes useless. In this article, we extend the so-called Koch-Röhmel design where a proof of efficacy for the experimental treatment is required in order to qualify for the non-inferiority test. While the efficacy of the experimental treatment is an indication of assay sensitivity, it does not guarantee that the reference is sufficiently efficient to let the non-inferiority claim be meaningful. It has, therefore, been suggested to adaptively test the non-inferiority only if the reference demonstrates superiority to placebo and otherwise to test

Identifiants

pubmed: 37503578
doi: 10.1177/09622802231189592
pmc: PMC10540495
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1784-1798

Références

Stat Med. 2022 Nov 10;41(25):5033-5045
pubmed: 35979723
Stat Med. 2011 Feb 10;30(3):224-31
pubmed: 21213340
Stat Med. 2013 Dec 10;32(28):4875-89
pubmed: 23970488
Am Stat. 2021;75(4):424-432
pubmed: 34992303
Biom J. 2005 Dec;47(6):782-6; discussion 787-98
pubmed: 16450851
Stat Med. 2009 Apr 30;28(9):1321-38
pubmed: 19243083
Methods Inf Med. 2014;53(4):278-83
pubmed: 24970284
J Biopharm Stat. 2004 May;14(2):315-25
pubmed: 15206529

Auteurs

Martin Scharpenberg (M)

Competence Center for Clinical Trials Bremen, University of Bremen, Bremen, Germany.

Werner Brannath (W)

Competence Center for Clinical Trials Bremen, University of Bremen, Bremen, Germany.

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Classifications MeSH