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An exhaustive ADDIS principle for online FWER control.
Fischer, Lasse; Roig, Marta Bofill; Brannath, Werner.
Afiliação
  • Fischer L; Competence Center for Clinical Trials Bremen, University of Bremen, Bremen, Germany.
  • Roig MB; Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
  • Brannath W; Competence Center for Clinical Trials Bremen, University of Bremen, Bremen, Germany.
Biom J ; 66(3): e2300237, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38637319
ABSTRACT
In this paper, we consider online multiple testing with familywise error rate (FWER) control, where the probability of committing at least one type I error will remain under control while testing a possibly infinite sequence of hypotheses over time. Currently, adaptive-discard (ADDIS) procedures seem to be the most promising online procedures with FWER control in terms of power. Now, our main contribution is a uniform improvement of the ADDIS principle and thus of all ADDIS procedures. This means, the methods we propose reject as least as much hypotheses as ADDIS procedures and in some cases even more, while maintaining FWER control. In addition, we show that there is no other FWER controlling procedure that enlarges the event of rejecting any hypothesis. Finally, we apply the new principle to derive uniform improvements of the ADDIS-Spending and ADDIS-Graph.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Estatísticos Idioma: En Ano de publicação: 2024 Tipo de documento: Article