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, PMCID: PMC12135099, 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 biasesConfoundingReviewMEDLINEPublished research on the human health implications of climate change between 2012 and 2021: cross sectional study
Bartlett V, Doernberg H, Mooghali M, Gupta R, Wallach J, Nyhan K, Chen K, Ross J. Published research on the human health implications of climate change between 2012 and 2021: cross sectional study. BMJ Medicine 2024, 3: e000627. PMID: 38352020, PMCID: PMC10862342, DOI: 10.1136/bmjmed-2023-000627.Peer-Reviewed Original ResearchHealth effects of climate changeHealth research fundingRandom sampleHealth effectsCross sectional studyPeer-reviewed researchWeb of ScienceGrey literatureHealth conditionsSectional studyInclusion criteriaRisk populationHealthHealth impactsHealth implicationsGoogle ScholarResearch articlesNational InstituteFunding sourcesPublication characteristicsResearch fundingPublished researchRiskDisproportionate focusPopulation
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