2024
Quantitative bias analysis methods for summary-level epidemiologic data in the peer-reviewed literature: a systematic review
Shi X, Liu Z, Zhang M, Hua W, Li J, Lee J, Dharmarajan S, Nyhan K, Naimi A, Lash T, Jeffery M, Ross J, Liew Z, Wallach J. Quantitative bias analysis methods for summary-level epidemiologic data in the peer-reviewed literature: a systematic review. Journal Of Clinical Epidemiology 2024, 175: 111507. PMID: 39197688, DOI: 10.1016/j.jclinepi.2024.111507.Peer-Reviewed Original ResearchQuantitative bias analysis methodsQuantitative bias analysisPeer-reviewed literatureSystematic reviewEpidemiological dataObservational studyOpen Science FrameworkEnglish-language articlesWeb of ScienceMisclassification biasImpact of biasScience FrameworkStudy designEffect estimatesMeta-analysesPre-registeredStudy protocolBias analysisSelection biasLevel dataFuture investigationsMultiple biasesConfoundingReviewMEDLINE
2018
How to investigate and adjust for selection bias in cohort studies
Nohr EA, Liew Z. How to investigate and adjust for selection bias in cohort studies. Acta Obstetricia Et Gynecologica Scandinavica 2018, 97: 407-416. PMID: 29415329, DOI: 10.1111/aogs.13319.Peer-Reviewed Original ResearchConceptsCohort studyDanish National Birth CohortSelection biasLong-term followNational Birth CohortLongitudinal cohort studyCase-control studySubsequent follow upsExposure-outcome associationsTraditional epidemiological approachesPreventable causeFollow-upInverse probability weightingBirth cohortInitial participation rateStudy designEpidemiological approachLimited dataCohortDiseaseBias analysisProbability weightingParticipation ratesParticipantsLess disease