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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">hfb</journal-id><journal-title-group><journal-title xml:lang="ru">Health, Food &amp; Biotechnology</journal-title><trans-title-group xml:lang="en"><trans-title>Health, Food &amp; Biotechnology</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2712-7648</issn><publisher><publisher-name>РОСБИОТЕХ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.36107/hfb.2021.i4.s125</article-id><article-id custom-type="elpub" pub-id-type="custom">hfb-125</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ЗДОРОВЬЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>HEALTH</subject></subj-group></article-categories><title-group><article-title>Обзор полевых экспериментов в области здравоохранения в развивающихся странах</article-title><trans-title-group xml:lang="en"><trans-title>An overview on field experiments in health in developing countries</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Йепес</surname><given-names>Хорхе</given-names></name><name name-style="western" xml:lang="en"><surname>Yépez</surname><given-names>Jorge</given-names></name></name-alternatives><email xlink:type="simple">yepezeta@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Институт перспективных национальных исследований</institution><country>Эквадор</country></aff><aff xml:lang="en"><institution>Instituto de Altos Estudios Nacionales</institution><country>Ecuador</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>04</day><month>01</month><year>2022</year></pub-date><volume>3</volume><issue>4</issue><elocation-id>125</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Йепес Х., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Йепес Х.</copyright-holder><copyright-holder xml:lang="en">Yépez J.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.hfb-journal.ru/jour/article/view/125">https://www.hfb-journal.ru/jour/article/view/125</self-uri><abstract><p>Медицинская наука признает, что пациенты не всегда реагируют на лечение так, как ожидают врачи; более того, разные люди реагируют на лечение по-разному и иногда непредсказуемо. Эти различия могут быть связаны с параметрами, которые поддаются наблюдению, такими как возраст и пол пациентов, но на результаты могут влиять и параметры, которые не поддаются наблюдению, такие как образ жизни пациента, или отсутствие данных о состоянии его здоровья. Чтобы преодолеть эту проблему, в течение двадцатого века медицинские исследователи и статистики начали широко использовать методы рандомизированных контролируемых испытаний (РКИ) для оценки эффекта лечения и выделение полученного результата от других предпосылок развития болезни, которые могли повлиять на эффект от лечения. В течение последних десятилетий социологи, желающие выйти за рамки корреляционного анализа, чтобы получить представление о причинно-следственных связях, приняли аналогичный подход. В этой статье дается краткий обзор РКИ в экономике развивающихся стран с особым вниманием к программам, связанным со здоровьем.</p></abstract><trans-abstract xml:lang="en"><p>Medical science recognizes that patients do not always respond to treatment in a way physicians expect; moreover, different people respond to treatment in different and sometimes unpredictable ways. These differences can be attributed to observable patients’ characteristics, such as age and gender, but also unobservable characteristics can influence the results, such as lifestyle or an unreported health condition. To overcome this problem, during the twentieth century, medical researchers and statisticians began extensively using randomized controlled trial (RCT) methods to assess the effect of the treatment and to separate this effect from other patients’ characteristics that could affect the results. During the last decades, social scientists, willing to go beyond correlational analysis to provide insights on causation, have adopted a similar approach. This paper gives a short overview of RCT in development economics with a special attention to programs related to health in developing countries.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>рандомизированное контрольное испытание</kwd><kwd>полевые эксперименты</kwd><kwd>оценка воздействия</kwd><kwd>экономика развивающихся стран</kwd><kwd>здоровье</kwd></kwd-group><kwd-group xml:lang="en"><kwd>randomize control trial</kwd><kwd>field experiments</kwd><kwd>impact evaluation</kwd><kwd>development economics</kwd><kwd>health</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Banerjee, A. V., &amp; Duflo, E. (2012). Poor Economics: A Radical Rethinking of the Way to Fight Global Poverty. 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