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Meta-analysis under imbalance in measurement of confounders in cohort studies using only summary-level data.

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Title: Meta-analysis under imbalance in measurement of confounders in cohort studies using only summary-level data.
Authors: Ray D; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. dray@jhu.edu.; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. dray@jhu.edu., Muñoz A; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Zhang M; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Li X; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Chatterjee N; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.; Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA., Jacobson LP; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA., Lau B; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. blau1@jhu.edu.
Source: BMC medical research methodology [BMC Med Res Methodol] 2022 May 19; Vol. 22 (1), pp. 143. Date of Electronic Publication: 2022 May 19.
Publication Type: Journal Article; Meta-Analysis; Research Support, N.I.H., Extramural
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ray+D%22">Ray D</searchLink>; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. dray@jhu.edu.; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. dray@jhu.edu.<br /><searchLink fieldCode="AU" term="%22Muñoz+A%22">Muñoz A</searchLink>; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Zhang+M%22">Zhang M</searchLink>; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Chatterjee+N%22">Chatterjee N</searchLink>; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.; Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Jacobson+LP%22">Jacobson LP</searchLink>; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Lau+B%22">Lau B</searchLink>; Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. blau1@jhu.edu.
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        Value: 10.1186/s12874-022-01614-9
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