An exhaustive ADDIS principle for online FWER control

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 see...

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Detalles Bibliográficos
Autores: Fischer, Lasse, Bofill Roig, Marta|||0000-0002-4400-7541, Brannath, Werner
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/415509
Acceso en línea:https://hdl.handle.net/2117/415509
https://dx.doi.org/10.1002/bimj.202300237
Access Level:acceso abierto
Palabra clave:Adaptivity
Discarding
Familywise error rate
Online multiple testing
Àrees temàtiques de la UPC::Economia i organització d'empreses
Descripción
Sumario: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.