医疗统计和数据中的认知偏差和人为因素

Medicine (Abingdon, England : UK ed.) Pub Date : 2025-04-28 DOI:10.1016/j.mpmed.2025.03.008

Anthony Lockett

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引用次数: 0

摘要

偏见和人为因素在解释数据的方式和由此产生的决定中起着重要作用。提出了六种常见的偏见来源及其与人为因素的联系。如果要正确使用信息和数据，对偏见和人为因素的理解是必不可少的。测试策略和文化因素在防止数据误读方面起着重要作用。

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Cognitive bias and human factors in statistics and data in healthcare

Bias and human factors play a major role in the way in which data are interpreted and the resultant decisions. Six common sources of bias and the link that they have to human factors are presented. An understanding of bias and human factors is essential if information and data are to be correctly used. Testing strategies and cultural factors play a major role in preventing the misinterpretation of data.

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来源期刊

Medicine (Abingdon, England : UK ed.)

CiteScore

1.10

自引率

0.00%

发文量