<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.1d1" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher">REMEDIUM</journal-id><journal-title-group><journal-title>REMEDIUM</journal-title></journal-title-group><issn publication-format="print">1561-5936</issn><issn publication-format="electronic">2658-3534</issn><publisher><publisher-name>Joint-Stock Company Chicot</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">1054</article-id><article-id pub-id-type="doi">10.21518/1561-5936-2019-3-40-47</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Article</subject></subj-group></article-categories><title-group><article-title>Properties of the two one-sided tests procedure for the bioequivalence assessment of medicinal products</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Dranitsyna</surname><given-names>M. A.</given-names></name><bio></bio><email>noemail@neicon.ru</email><xref ref-type="aff" rid="aff-1"/><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Zakharova</surname><given-names>T. V.</given-names></name><bio></bio><email>noemail@neicon.ru</email><xref ref-type="aff" rid="aff-2"/><xref ref-type="aff" rid="aff-3"/><xref ref-type="aff" rid="aff-4"/></contrib><contrib contrib-type="author"><name name-style="western"><surname>Niyazov</surname><given-names>R. R.</given-names></name><bio></bio><email>noemail@neicon.ru</email><xref ref-type="aff" rid="aff-5"/><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff id="aff-1">Center for Scientific Advice LLC</aff><aff id="aff-2">Federal State Budgetary Educational Institution of Higher Education Lomonosov Moscow State University</aff><aff id="aff-3">Institute of Informatics Problems of the Russian Academy of Sciences</aff><aff id="aff-4">Federal Research Center Informatics and Management of the Russian Academy of Sciences</aff><aff id="aff-5">Korean Institute of Medical Industry Development</aff><pub-date date-type="epub" iso-8601-date="2019-12-03" publication-format="electronic"><day>03</day><month>12</month><year>2019</year></pub-date><issue>3</issue><fpage>40</fpage><lpage>47</lpage><history><pub-date date-type="received" iso-8601-date="2022-03-18"><day>18</day><month>03</month><year>2022</year></pub-date></history><permissions><copyright-statement>Copyright © 2019,</copyright-statement><copyright-year>2019</copyright-year></permissions><abstract>In this paper, an overview of the decision-making rules and two one-sided tests procedure when assessing bioequivalence is provided. This includes a discussion of how the type I error is controlled, i.e. the way how the patient risks arising from the inherent uncertainty of statistical inferences are handled. Additionally, certain weaknesses of the current approach for the bioequivalence assessment are discussed.</abstract><kwd-group xml:lang="en"><kwd>bioequivalence</kwd><kwd>type I error</kwd><kwd>statistical test</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>биоэквивалентность</kwd><kwd>ошибка I рода</kwd><kwd>статистический критерий</kwd></kwd-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>CFR320.23 https://www.accessdata.fda.gov/scripts/cdrh/ cfdocs/cfcfr/CFRSearch.cfm?fr=320.23.</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Информационный справочник понятий, применяемых в рамках Евразийского экономического союза в сфере обращения лекарственных средств http://eec.eaeunion.org/ru/act/texnreg/ deptexreg/LS1/Pages/pharm_glossary.aspx, доступ 01.11.2018.</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>EMA Guideline on the investigation of bioequivalence, 2010.</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Shein-Chung Chow, Jen-pei Liu, Design and Analysis of Bioavailability and Bioequivalence Studies, Third Edition, by Taylor &amp; Francis Group, LLC, 2009.</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Schuirmann D.J. On hypothesis testing to determine if the mean of a normal distribution is continued in a known interval. Biometrics. 1981;37:617.</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Schuirmann D.J. A comparison of the two one-sided tests procedure and the power approach for assessing the equivalence of average bioavailability. Journal of Pharmacokinetics and Biopharmaceutics, 1987, 15, 657-680.</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Davit B.M., Nwakama P.E., Buehler G.J., Conner D.P., Haidar S.H., Patel D.T., et al. Comparing generic and innovator drugs: a review of 12 years of bioequivalence data from the United States Food and Drug Administration. Ann Pharmacother. 2009;43(10):1583-97. Epub 2009/09/25. doi: 10.1345/aph.1M141.</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Ивченко Г.И., Медведев Ю.И. Математическая статистика, Учеб. пособие для втузов. М.: Высш. шк., 1984. 248 стр.</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Ennis J.M. &amp; Ennis D.M. Equivalence hypothesis testing. Food Quality and Preference. 2010;21:253-256.</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Berger R.L. &amp; Hsu J.C. Rejoinder. Statistical Science. 1996b;11(4):315-319.</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Kendall M.G. and Stuart A. The Advance Theory of Statistics. Vol. II, Griffen, London, UK, 1979.</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Hsu J.C., Hwang J.T.G., Liu H.K. and Ruberg S.J. Confidence intervals associated with tests for bioequivalence. Biometrika. 1994;81:103-114.</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Lehmann E.L. and Romano J.P. Testing Statistical Hypotheses. Springer, New York, 2005.</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Hauschke D., Steinijans V.W. and Diletti E. A distribution-free procedure for the statistical analyses of bioequivalence studies. International Journal of Clinical Pharmacology, Therapy and Toxicology. 1990;28:72-78.</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Labes D., Schutz H. Inflation of Type I Error in the Evaluation of Scaled Average Bioequivalence, and a Method for its Control. Pharm Res. 2017;33(11):2805-14.</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Ромодановский Д.П., Горячев Д.В., Хохлов А.Л., Мирошников А.Е., Шитова А.М., Еременко Н.Н. «Patients risk» при проведении исследований биоэквивалентности высоковариабельных лекарственных препаратов. Медицинская этика. 2018;6(1):26-32.</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Orange Book: Approved Drug Products with Therapeutic Equivalence Evaluations, 38th ed. U. S. Food and Drug Administration 2018. URL: https://www.fda.gov/downloads/Drugs/ DevelopmentApprovalProcess/UCM071436.pdf.</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Bate R., Mathur A., Lever H.M., Thakur D., Graedon J., Cooperman T., Mason P., Fox E.R. Generics Substitution, Bioequivalence Standards, and International Oversight: Complex Issues Facing the FDA. Trends Pharmacol Sci. 2016;37(3):184-191. doi:10.1016/j.tips.2015.11.005.</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Corinne Seng Yue, Deniz Ozdin, Susannah Selber-Hnatiw, Murray Ducharme, Opportunities and Challenges Related to the Implementation of Model-Based Bioequivalence Criteria, https://doi. org/10.1002/cpt.1270.</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Zakharova T.V., Slivkina A.V., Dranitsyna MA The application of the ICA method and window dispersion in the study of bioequivalence pf drugs, XXXV International Seminar on Stability Problems for Stochastic Models, Book of Abstracts, 2018:93-95.</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>FDA Update: Budeprion XL 300 mg Not Therapeutically Equivalent to Wellbutrin XL 300 mg: https://www.fda.gov/Drugs/DrugSafety/Post marketDrugSafetyInformationforPatientsandProviders/ucm322161.htm.</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>FDA Approval Package for Bupropion HCl extended-release (XL) 300 mg Tablets https://www.accessdata.fda.gov/drugsatfda_docs/ nda/2006/077415.pdf.</mixed-citation></ref></ref-list></back></article>
