A strategy to impute age at onset of a particular condition from external sources

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dc.contributor.authorAlvares D.
dc.contributor.authorParedes F.
dc.contributor.authorVargas C.
dc.contributor.authorFerreccio C.
dc.contributor.authorParedes F.
dc.contributor.authorFerreccio C.
dc.contributor.authorVargas C.
dc.date.accessioned2024-01-10T12:11:35Z
dc.date.available2024-01-10T12:11:35Z
dc.date.issued2021
dc.description.abstract© The Author(s) 2021.A key hypothesis in epidemiological studies is that time to disease exposure provides relevant information to be considered in statistical models. However, the initiation time of a particular condition is usually unknown. Therefore, we developed a multiple imputation methodology for the age at onset of a particular condition, which is supported by incidence data from different sources of information. We introduced and illustrated such a methodology using simulated data in order to examine the performance of our proposal. Then, we analyzed the association of gallstones and fatty liver disease in the Maule Cohort, a Chilean study of chronic diseases, using participants’ risk factors and six sources of information for the imputation of the age-occurrence of gallstones. Simulated studies showed that an increase in the proportion of imputed data does not affect the quality of the estimated coefficients associated with fully observed variables, while the imputed variable slowly reduces its effect. For the Chilean study, the categorized exposure time to gallstones is a significant variable, in which participants who had short and long exposure have, respectively, 26.2% and 29.1% higher chance of getting a fatty liver disease than non-exposed ones. In conclusion, our multiple imputation approach proved to be quite robust both in the linear/logistic regression simulation studies and in the real application, showing the great potential of this methodology.
dc.description.funderComisión Nacional de Investigación Científica y Tecnológica
dc.description.funderFondo Nacional de Desarrollo Científico y Tecnológico
dc.description.funderFondo de Financiamiento de Centros de Investigación en Áreas Prioritarias
dc.fechaingreso.objetodigital2024-05-14
dc.fuente.origenScopus
dc.identifier.doi10.1177/09622802211013830
dc.identifier.eissn14770334
dc.identifier.issn14770334 09622802
dc.identifier.pubmedid34038218
dc.identifier.scopusidSCOPUS_ID:85106574109
dc.identifier.urihttps://doi.org/10.1177/09622802211013830
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/76668
dc.identifier.wosidWOS:000679901500001
dc.information.autorucFacultad de Matemáticas; Alvares Da Silva, Danilo; 0000-0003-3764-0397; 1081962
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final1781
dc.pagina.inicio1771
dc.publisherSAGE Publications Ltd
dc.revistaStatistical Methods in Medical Research
dc.rightsacceso restringido
dc.subjectExternal information
dc.subjectgallstones
dc.subjectimputation
dc.subjectMAUCO
dc.subjectstatistical methods
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleA strategy to impute age at onset of a particular condition from external sources
dc.typeartículo
dc.volumen30
sipa.codpersvinculados1081962
sipa.indexScopus
sipa.indexPubmed
sipa.trazabilidadCarga SIPA;09-01-2024
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