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打破偏见习惯的研讨会对内科医学院的影响:一个多站点集群随机控制研究

Molly Carnes1, Jennifer Sheridan2, Eve Fine3

  • 1M. Carnes is professor emeritus, Departments of Medicine, Psychiatry, and Industrial Engineering, University of Wisconsin-Madison, Madison, Wisconsin; ORCID: https://orcid.org/0000-0002-4208-0091 .

Academic medicine : journal of the Association of American Medical Colleges
|September 27, 2023
PubMed
概括

一个隐性偏见培训研讨会提高了教师意识和减少偏见的自我有效性,没有观察到任何伤害. 这种干预使学术医疗中心有能力解决不平等问题.

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Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
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