Simultaneous confidence intervals from randomization tests with application in testing bioequivalence with multiple endpoints.

bioequivalence multiple endpoints randomization test simultaneous confidence intervals

Journal

Biometrical journal. Biometrische Zeitschrift
ISSN: 1521-4036
Titre abrégé: Biom J
Pays: Germany
ID NLM: 7708048

Informations de publication

Date de publication:
10 2023
Historique:
revised: 05 02 2023
received: 15 03 2022
accepted: 18 03 2023
medline: 11 10 2023
pubmed: 18 5 2023
entrez: 18 5 2023
Statut: ppublish

Résumé

We propose a method to construct simultaneous confidence intervals for a parameter vector from inverting a series of randomization tests (RT). The randomization tests are facilitated by an efficient multivariate Robbins-Monro procedure that takes the correlation information of all components into account. The estimation method does not require any distributional assumption of the population other than the existence of the second moments. The resulting simultaneous confidence intervals are not necessarily symmetric about the point estimate of the parameter vector but possess the property of equal tails in all dimensions. In particular, we present the constructing the mean vector of one population and the difference between two mean vectors of two populations. Extensive simulation is conducted to show numerical comparison with four methods. We illustrate the application of the proposed method to test bioequivalence with multiple endpoints on some real data.

Identifiants

pubmed: 37199702
doi: 10.1002/bimj.202200082
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2200082

Informations de copyright

© 2023 Wiley-VCH GmbH.

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Auteurs

Abdisa G Dufera (AG)

School of Statistics, East China Normal University, Shanghai, China.

Cui Xiong (C)

Department of Statistics, GlaxoSmithKline (China) R&D Company Limited, China.

Jin Xu (J)

School of Statistics, East China Normal University, Shanghai, China.
Key Laboratory of Advanced Theory and Application in Statistics and Data Science - MOE, East China Normal University, Shanghai, China.

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