Exposure range matters: considering non-linear associations in the meta-analysis of environmental pollutant exposure using examples of per- and polyfluoroalkyl substances and birth outcomes
Guo P, Warren J, Deziel N, Liew Z. Exposure range matters: considering non-linear associations in the meta-analysis of environmental pollutant exposure using examples of per- and polyfluoroalkyl substances and birth outcomes. American Journal Of Epidemiology 2024, kwae309. PMID: 39227151, DOI: 10.1093/aje/kwae309.Peer-Reviewed Original ResearchNon-linear associationMeta-analysisHeterogeneity of effect estimatesEffect estimatesPotential non-linear associationsExposure-outcome relationshipsRisk of preterm birthSubgroup meta-analysisBirth outcomesPollution exposureMeta-analytic approachMeta-analysesEffect sizeEnvironmental pollutant exposureResults heterogeneityExposure levelsHealth effectsPreterm birthEvidence-based policymakingPrenatal exposurePotential heterogeneityMean birth weightBirth weightMethodological challengesCut-off choiceQuantitative 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