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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/98348
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dc.contributor.authorChittleborough, C.R.-
dc.contributor.authorSearle, A.K.-
dc.contributor.authorSmithers, L.G.-
dc.contributor.authorBrinkman, S.A.-
dc.contributor.authorLynch, J.W.-
dc.date.issued2016-
dc.identifier.citationEarly Childhood Research Quarterly, 2016; 35:19-30-
dc.identifier.issn1873-7706-
dc.identifier.issn1873-7706-
dc.identifier.urihttp://hdl.handle.net/2440/98348-
dc.description.abstractAbstract not available-
dc.description.statementofresponsibilityCatherine R. Chittleborough, Amelia K. Searle, Lisa G. Smithers, Sally Brinkman, John W. Lynch-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 2015 Elsevier Inc. All rights reserved.-
dc.source.urihttp://dx.doi.org/10.1016/j.ecresq.2015.10.006-
dc.subjectAEDC; Child development; Prediction; Perinatal risk factors; Data linkage; Sensitivity and specificity-
dc.titleHow well can poor child development be predicted from early life characteristics?: A whole-of-population data linkage study-
dc.typeJournal article-
dc.identifier.doi10.1016/j.ecresq.2015.10.006-
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/1056888-
dc.relation.granthttp://purl.org/au-research/grants/nhmrc/570120-
pubs.publication-statusPublished-
dc.identifier.orcidChittleborough, C.R. [0000-0003-3196-7137]-
dc.identifier.orcidSearle, A.K. [0000-0002-8602-0146]-
dc.identifier.orcidSmithers, L.G. [0000-0002-6585-7836]-
dc.identifier.orcidBrinkman, S.A. [0000-0001-7538-4844]-
dc.identifier.orcidLynch, J.W. [0000-0003-2781-7902]-
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