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dc.contributor.authorDunne, Jennifer
dc.contributor.authorTessema, Gizachew
dc.contributor.authorGebremedhin, Amanuel
dc.contributor.authorPereira, Gavin
dc.date.accessioned2023-09-21T03:05:25Z
dc.date.available2023-09-21T03:05:25Z
dc.date.issued2022
dc.identifier.citationDunne, J. and Tessema, G.A. and Gebremedhin, A.T. and Pereira, G. 2022. Bias in the association between advanced maternal age and stillbirth using left truncated data. Scientific Reports. 12 (1): ARTN 19214.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/93383
dc.identifier.doi10.1038/s41598-022-23719-3
dc.description.abstract

Restriction to analysis of births that survive past a specified gestational age (typically 20 weeks gestation) leads to biased exposure-outcome associations. This bias occurs when the cause of restriction (early pregnancy loss) is influenced by both the exposure and unmeasured factors that also affect the outcome. The aim of this study is to estimate the magnitude of bias resulting from left truncated data in the association between advanced maternal age and stillbirth. We simulated data for the causal pathway under a collider-stratification mechanism. Simulation parameters were based on an observed birth cohort from Western Australia and a range of plausible values for the prevalence of early pregnancy loss, unmeasured factor U and the odds ratios for the selection effects. Selection effects included the effects of maternal age on early pregnancy loss, U on early pregnancy loss, and U on stillbirth. We compared the simulation scenarios to the observed birth cohort that was truncated to pregnancies that survived beyond 20 gestational weeks. We found evidence of marginal downward bias, which was most prominent for women aged 40 + years. Overall, we conclude that the magnitude of bias due to left truncation is minimal in the association between advanced maternal age and stillbirth.

dc.languageEnglish
dc.publisherNATURE PORTFOLIO
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/nhmrc/1099655
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/nhmrc/1173991
dc.relation.sponsoredbyhttp://purl.org/au-research/grants/nhmrc/1195716
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectScience & Technology
dc.subjectMultidisciplinary Sciences
dc.subjectScience & Technology - Other Topics
dc.subjectPREGNANCY
dc.subjectSMOKING
dc.subjectBIRTH
dc.subjectEPIDEMIOLOGY
dc.subjectEXPLANATION
dc.subjectPARADOX
dc.subjectPregnancy
dc.subjectFemale
dc.subjectHumans
dc.subjectStillbirth
dc.subjectMaternal Age
dc.subjectAbortion, Spontaneous
dc.subjectGestational Age
dc.subjectBias
dc.subjectRisk Factors
dc.subjectHumans
dc.subjectAbortion, Spontaneous
dc.subjectRisk Factors
dc.subjectMaternal Age
dc.subjectGestational Age
dc.subjectPregnancy
dc.subjectFemale
dc.subjectStillbirth
dc.subjectBias
dc.titleBias in the association between advanced maternal age and stillbirth using left truncated data
dc.typeJournal Article
dcterms.source.volume12
dcterms.source.number1
dcterms.source.issn2045-2322
dcterms.source.titleScientific Reports
dc.date.updated2023-09-21T03:05:22Z
curtin.departmentCurtin School of Population Health
curtin.departmentOffice of the Pro Vice Chancellor Health Sciences
curtin.accessStatusOpen access
curtin.facultyFaculty of Health Sciences
curtin.contributor.orcidPereira, Gavin [0000-0003-3740-8117]
curtin.contributor.orcidTessema, Gizachew [0000-0002-4784-8151]
curtin.contributor.orcidDunne, Jennifer [0000-0002-1001-732X]
curtin.contributor.researcheridPereira, Gavin [D-7136-2014]
curtin.contributor.researcheridTessema, Gizachew [J-9235-2018]
curtin.identifier.article-numberARTN 19214
dcterms.source.eissn2045-2322
curtin.contributor.scopusauthoridPereira, Gavin [35091486200]
curtin.contributor.scopusauthoridGebremedhin, Amanuel [56412162800] [57202566187]
curtin.contributor.scopusauthoridDunne, Jennifer [57250660000]
curtin.repositoryagreementV3


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