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Considering the sample sizes as truncated Poisson random variables in mixed effects models

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dc.contributor.authorNunes, Célia
dc.contributor.authorMoreira, Elsa E.
dc.contributor.authorFerreira, Sandra S.
dc.contributor.authorFerreira, Dário
dc.contributor.authorMexia, João T.
dc.date.accessioned2020-02-06T12:17:20Z
dc.date.available2020-02-06T12:17:20Z
dc.date.issued2019
dc.description.abstractWhen applying analysis of variance, the sample sizes may not be previously known, so it is more appropriate to consider them as realizations of random variables. A motivating example is the collection of observations during a fixed time span in a study comparing, for example, several pathologies of patients arriving at a hospital. This paper extends the theory of analysis of variance to those situations considering mixed effects models. We will assume that the occurrences of observations correspond to a counting process and the sample dimensions have Poisson distribution. The proposed approach is applied to a study of cancer patients.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1080/02664763.2019.1641188pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/9064
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCenter of Mathematics and Applications of University of Beira Interior [UID/MAT/00212/2019]
dc.relationCenter for Mathematics and Applications
dc.subjectRandom sample sizespt_PT
dc.subjectMixedeffectspt_PT
dc.subjectL extensions modelspt_PT
dc.subjectF-testspt_PT
dc.subjectCounting processespt_PT
dc.subjectCancer registriespt_PT
dc.titleConsidering the sample sizes as truncated Poisson random variables in mixed effects modelspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCenter of Mathematics and Applications of University of Beira Interior [UID/MAT/00212/2019]
oaire.awardTitleCenter for Mathematics and Applications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00212%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMAT%2F00297%2F2019/PT
oaire.citation.endPage17pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleJournal of Applied Statisticspt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameNunes
person.familyNameMoreira
person.familyNameFerreira
person.familyNameFerreira
person.familyNameMexia
person.givenNameCélia
person.givenNameElsa
person.givenNameSandra
person.givenNameDário
person.givenNameJoão
person.identifierR-000-3NA
person.identifier1454084
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person.identifier.ciencia-id0A1B-09AC-0E39
person.identifier.orcid0000-0003-0167-4851
person.identifier.orcid0000-0003-0116-1917
person.identifier.orcid0000-0002-9209-7772
person.identifier.orcid0000-0001-9095-0947
person.identifier.orcid0000-0001-8620-0721
person.identifier.ridH-1231-2016
person.identifier.scopus-author-id57194580125
person.identifier.scopus-author-id8575695000
person.identifier.scopus-author-id37088374700
person.identifier.scopus-author-id37088452300
person.identifier.scopus-author-id6603673040
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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