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A Microsimulation-Based Approach for Mitigating Societal Bias in Chronic Kidney Disease Data.

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Title: A Microsimulation-Based Approach for Mitigating Societal Bias in Chronic Kidney Disease Data.
Authors: Foryciarz A; Department of Computer Science, Stanford University, Stanford, CA, USA., Alarid-Escudero F; Department of Health Policy, Stanford School of Medicine, Stanford, CA, USA., Basel G; Department of Chemical Engineering, Stanford University, Stanford, CA, USA., Cusick MM; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA., Phillips RL; The American Board of Family Medicine, Lexington, KY, USA., Bazemore A; The American Board of Family Medicine, Lexington, KY, USA., Adams AS; Department of Health Policy, Stanford School of Medicine, Stanford, CA, USA.; Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, USA., Rose S; Department of Health Policy, Stanford School of Medicine, Stanford, CA, USA.
Source: Medical decision making : an international journal of the Society for Medical Decision Making [Med Decis Making] 2026 Jul; Vol. 46 (5), pp. 624-636. Date of Electronic Publication: 2026 Apr 28.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 8109073 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-681X (Electronic) Linking ISSN: 0272989X NLM ISO Abbreviation: Med Decis Making Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: A Microsimulation-Based Approach for Mitigating Societal Bias in Chronic Kidney Disease Data.
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  Data: <searchLink fieldCode="AU" term="%22Foryciarz+A%22">Foryciarz A</searchLink>; Department of Computer Science, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Alarid-Escudero+F%22">Alarid-Escudero F</searchLink>; Department of Health Policy, Stanford School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Basel+G%22">Basel G</searchLink>; Department of Chemical Engineering, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Cusick+MM%22">Cusick MM</searchLink>; Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Phillips+RL%22">Phillips RL</searchLink>; The American Board of Family Medicine, Lexington, KY, USA.<br /><searchLink fieldCode="AU" term="%22Bazemore+A%22">Bazemore A</searchLink>; The American Board of Family Medicine, Lexington, KY, USA.<br /><searchLink fieldCode="AU" term="%22Adams+AS%22">Adams AS</searchLink>; Department of Health Policy, Stanford School of Medicine, Stanford, CA, USA.; Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Rose+S%22">Rose S</searchLink>; Department of Health Policy, Stanford School of Medicine, Stanford, CA, USA.
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  Data: <searchLink fieldCode="JN" term="%228109073%22">Medical decision making : an international journal of the Society for Medical Decision Making</searchLink> [Med Decis Making] 2026 Jul; Vol. 46 (5), pp. 624-636. <i>Date of Electronic Publication: </i>2026 Apr 28.
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        Value: 10.1177/0272989X261432162
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              Text: 2026 Jul
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              Y: 2026
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