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Initial value dependence: comparison of two methods for its study

dc.contributor.author Raykov, T en_US
dc.contributor.author Penev, Spiridon en_US
dc.date.accessioned 2021-11-25T13:41:54Z
dc.date.available 2021-11-25T13:41:54Z
dc.date.issued 1996 en_US
dc.description.abstract This article is concerned with the comparison of slope estimator precision in regression analysis and the structural relationships approach (e.g., Humak, 1983, ch. 3; Kendall and Stuart, 1977), as it is relevant for their applications when testing for initial value dependence in biomedical and behavioral contexts of repeated assessments (e.g., Blomqvist, 1977; Wall, 1977). As a basis for the comparison of the two methods, the mean square error is adopted. In the general case, it is argued for an informed (data-dependent) choice between regression analysis and the structural relationships approach. For the apparent majority of biomedical and behavioral studies of the phenomenon of initial value depenence, this comparison suggests that structural relationships is the preferable approach leading to more trustworthy substantive conclusions. en_US
dc.identifier.issn 0323-3847 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/40299
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.title Initial value dependence: comparison of two methods for its study en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.identifier.doiPublisher http://dx.doi.org/10.1002/bimj.4710380511 en_US
unsw.relation.faculty Science
unsw.relation.ispartofissue 5 en_US
unsw.relation.ispartofjournal Biometrical Journal en_US
unsw.relation.ispartofpagefrompageto 631-639 en_US
unsw.relation.ispartofvolume 38 en_US
unsw.relation.originalPublicationAffiliation Raykov, T en_US
unsw.relation.originalPublicationAffiliation Penev, Spiridon, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.school School of Mathematics & Statistics *
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