Type I error probability spending for post-market drug and vaccine safety surveillancewith poisson data.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilva, Ivair Ramos-
Data de aceite: dc.date.accessioned2025-08-21T15:31:36Z-
Data de disponibilização: dc.date.available2025-08-21T15:31:36Z-
Data de envio: dc.date.issued2018-02-01-
Data de envio: dc.date.issued2018-02-01-
Data de envio: dc.date.issued2017-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/9402-
Fonte completa do material: dc.identifierhttps://link.springer.com/article/10.1007/s11009-017-9586-z-
Fonte completa do material: dc.identifierhttps://doi.org/10.1007/s11009-017-9586-z-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1017447-
Descrição: dc.descriptionStatistical sequential hypothesis testing is meant to analyze cumulative data accruing in time. The methods can be divided in two types, group and continuous sequential approaches, and a question that arises is if one approach suppresses the other in some sense. For Poisson stochastic processes, we prove that continuous sequential analysis is uniformly better than group sequential under a comprehensive class of statistical performance measures. Hence, optimal solutions are in the class of continuous designs. This paper also offers a pioneer study that compares classical Type I error spending functions in terms of expected number of events to signal. This was done for a number of tuning parameters scenarios. The results indicate that a log-exp shape for the Type I error spending function is the best choice in most of the evaluated scenarios.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectSequential probability ratio test-
Palavras-chave: dc.subjectExpected number of events to signal-
Palavras-chave: dc.subjectLog-exp alpha spending-
Título: dc.titleType I error probability spending for post-market drug and vaccine safety surveillancewith poisson data.-
Aparece nas coleções:Repositório Institucional - UFOP

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