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The drugs were classified into eight groups according to the clearance mechanism, and the ER for each group was inferred together with interindividual variability (IIV), interstudy variability (ISV), and inter\u2010drug variability within a group (IDV) using the Markov chain Monte Carlo (MCMC) method. The ER, IIV, ISV, and IDV were dependent on the clearance mechanism, and, except for particular groups such as drugs metabolized by polymorphic enzymes or their clearance mechanism is not confirmative, the ethnic difference was found to be generally small. The IIV was well\u2010matched across ethnicities, and the ISV was approximately half of the IIV as the coefficient of variation. To adequately assess ethnic differences in oral clearance without false detections, phase I studies should be designed with full consideration of the mechanism of clearance. This study suggests that the methodology of classifying drugs based on the mechanism that causes ethnic differences and performing MBMA with statistical techniques such as MCMC analysis is helpful for a rational understanding of ethnic differences and for strategic drug development.<\/jats:p>","DOI":"10.1002\/psp4.12980","type":"journal-article","created":{"date-parts":[[2023,6,13]],"date-time":"2023-06-13T04:46:51Z","timestamp":1686631611000},"page":"1132-1142","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Model\u2010based meta\u2010analysis of ethnic differences and their variabilities in clearance of oral drugs classified by clearance mechanism"],"prefix":"10.1002","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8815-4829","authenticated-orcid":false,"given":"Hiromi","family":"Sato","sequence":"first","affiliation":[{"name":"Laboratory of Clinical Pharmacology and Pharmacometrics, Graduate 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