A correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures

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dc.audienceInvestigador
dc.coverageCundinamarca
dc.coverageBogotá
dc.coverageC.I Tibaitatá
dc.coverageColombia
dc.creatorMartinez Niño, Carlos Alberto
dc.creatorCruz, N. A.
dc.creatorMelo, O. O.
dc.date2024-05-20T16:17:05Z
dc.date2024-05-20T16:17:05Z
dc.date2022
dc.date2022
dc.date.accessioned2026-06-27T04:40:50Z
dc.descriptionIn this paper, we propose a family of correlation structures for crossover designs with repeated measures for both, Gaussian and non-Gaussian responses using generalized estimating equations (GEE). The structure considers two matrices: one that models between-period correlation and another one that models within-period correlation. The overall correlation matrix, which is used to build the GEE, corresponds to the Kronecker between these matrices. A procedure to estimate the parameters of the correlation matrix is proposed, its statistical properties are studied and a comparison with standard models using a single correlation matrix is carried out. A simulation study showed a superior performance of the proposed structure in terms of the quasi-likelihood criterion, efficiency, and the capacity to explain complex correlation phenomena patterns in longitudinal data from crossover designs.
dc.descriptionFacultad de Enfermería, Universidad Nacional de Colombia, Bogotá, Colombia
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dc.identifierhttps://link.springer.com/article/10.1007/s00362-022-01391-z
dc.identifierhttp://hdl.handle.net/20.500.12324/39372
dc.identifierhttps://doi.org/10.1007/s00362-022-01391-z
dc.identifierreponame:Biblioteca Digital Agropecuaria de Colombia
dc.identifierinstname:Corporación colombiana de investigación agropecuaria AGROSAVIA
dc.identifier.urihttp://hdl.handle.net/123456789/35183
dc.languageeng
dc.publisherSpringer Nature
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dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceStatistical Papers (2022) 65:263–290
dc.subjectCarry-over effect
dc.subjectCross-over design
dc.subjectGeneralized estimating equations
dc.subjectKronecker correlation
dc.subjectOverdispersion count data
dc.subjectEcuaciones
dc.subjectDispersión
dc.subjectMétodos estadísticos
dc.subjectGanadería y especies menores
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_8bc08746
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_2333
dc.subjecthttp://aims.fao.org/aos/agrovoc/c_7377
dc.thumbnailhttps://repository.agrosavia.co/bitstreams/80961e96-90a2-4b5b-b792-4e12e5162022/download
dc.titleA correlation structure for the analysis of Gaussian and non-Gaussian responses in crossover experimental designs with repeated measures
dc.typeArtículo científico

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