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Article: Intermediate confounding in trio relationships: The importance of complete data in effect size estimation

TitleIntermediate confounding in trio relationships: The importance of complete data in effect size estimation
Authors
Tubbs, JDZhang, YSham, PC
Issue Date2020
Citation
Genetic Epidemiology, 2020, v. 44, p. 4 How to Cite?
DOI: http://dx.doi.org/10.1002/gepi.22294
Persistent Identifierhttp://hdl.handle.net/10722/319913
ISI Accession Number ID
WOS:000521802800001

 

DC FieldValueLanguage
dc.contributor.authorTubbs, JD-
dc.contributor.authorZhang, Y-
dc.contributor.authorSham, PC-
dc.date.accessioned2022-10-14T05:22:03Z-
dc.date.available2022-10-14T05:22:03Z-
dc.date.issued2020-
dc.identifier.citationGenetic Epidemiology, 2020, v. 44, p. 4-
dc.identifier.urihttp://hdl.handle.net/10722/319913-
dc.languageeng-
dc.relation.ispartofGenetic Epidemiology-
dc.titleIntermediate confounding in trio relationships: The importance of complete data in effect size estimation -
dc.typeArticle-
dc.identifier.emailZhang, Y: doraz@hku.hk-
dc.identifier.emailSham, PC: pcsham@hku.hk-
dc.identifier.authorityZhang, Y=rp02590-
dc.identifier.authoritySham, PC=rp00459-
dc.identifier.doi10.1002/gepi.22294-
dc.identifier.hkuros339068-
dc.identifier.volume44-
dc.identifier.spage4-
dc.identifier.epage4-
dc.identifier.isiWOS:000521802800001-

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