Näytä suppeat kuvailutiedot

dc.contributor.authorLavikainen, Piia
dc.contributor.authorLeskinen, Esko
dc.contributor.authorHartikainen, Sirpa
dc.contributor.authorMöttönen, Jyrki
dc.contributor.authorSulkava, Raimo
dc.contributor.authorKorhonen, Maarit J.
dc.date.accessioned2016-07-06T06:09:53Z
dc.date.available2016-07-06T06:09:53Z
dc.date.issued2015
dc.identifier.citationLavikainen, P., Leskinen, E., Hartikainen, S., Möttönen, J., Sulkava, R., & Korhonen, M. J. (2015). Impact of missing data mechanism on the estimate of change: a case study on cognitive function and polypharmacy among older persons. <i>Clinical Epidemiology</i>, <i>7</i>, 169-180. <a href="https://doi.org/10.2147/CLEP.S72918" target="_blank">https://doi.org/10.2147/CLEP.S72918</a>
dc.identifier.otherCONVID_24570334
dc.identifier.otherTUTKAID_65340
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/50721
dc.description.abstractLongitudinal studies typically suffer from incompleteness of data. Attrition is a major problem in studies of older persons since participants may die during the study or are too frail to participate in follow-up examinations. Attrition is typically related to an individual’s health; therefore, ignoring it may lead to too optimistic inferences, for example, about cognitive decline or changes in polypharmacy. The objective of this study is to compare the estimates of level and slope of change in 1) cognitive function and 2) number of drugs in use between the assumptions of ignorable and non-ignorable missingness. This study demonstrates the usefulness of latent variable modeling framework. The results suggest that when the missing data mechanism is not known, it is preferable to conduct analyses both under ignorable and non-ignorable missing data assumptions.
dc.language.isoeng
dc.publisherDove Medical Press Ltd.
dc.relation.ispartofseriesClinical Epidemiology
dc.subject.otherattrition
dc.subject.otherlatent variable modeling
dc.subject.otherlongitudinal
dc.subject.othernumber of drugs
dc.subject.otherolder persons
dc.titleImpact of missing data mechanism on the estimate of change: a case study on cognitive function and polypharmacy among older persons
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201607053481
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineTilastotiedefi
dc.contributor.oppiaineStatisticsen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2016-07-05T12:15:23Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange169-180
dc.relation.issn1179-1349
dc.relation.numberinseries0
dc.relation.volume7
dc.type.versionpublishedVersion
dc.rights.copyright© the Authors, 2015. This work is published and licensed by Dove Medical Press Limited. The full terms of the license incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoMini-Mental State Examination
jyx.subject.urihttp://www.yso.fi/onto/yso/p23305
dc.rights.urlhttps://creativecommons.org/licenses/by-nc/3.0/
dc.relation.doi10.2147/CLEP.S72918
dc.type.okmA1


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© the Authors, 2015. This work is published and licensed by Dove Medical Press Limited. The full terms of the license incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License.
Ellei muuten mainita, aineiston lisenssi on © the Authors, 2015. This work is published and licensed by Dove Medical Press Limited. The full terms of the license incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License.