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

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Bibliographic Details
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
Description
ISSN:1552-681X
DOI:10.1177/0272989X261432162