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Applying Quantitative Bias Analysis to Epidemiologic Data

机译:偏倚分析在流行病学数据中的应用

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Virtually all epidemiological textbooks insist on the importance of quantitative bias analysis for observational studies but none has offered so far a simple and systematic guide on how to do it. Applying Quantitative Bias Analysis to Epidemiologic Data aims at changing the state of things by 'collecting] existing methods of quantitative bias analysis, explaining] them, illustrating] them with examples and link[ing] them to tools for implementation' (page 3). Chapter 1 uses evidence from evolutionary psychology to show that epidemiologists, as all human beings, have intrinsic sources of bias and that 'debiasing', i.e. the sometimes promoted attitude of reducing one's enthusiasm about the study results, simply will not work.
机译:几乎所有的流行病学教科书都坚持定量偏倚分析在观察研究中的重要性,但迄今为止,没有一本提供了有关如何进行偏倚的简单而系统的指南。将量化偏差分析应用于流行病学数据旨在通过“收集”现有的定量偏差分析方法,对它们进行解释,通过示例进行说明并与实施工具链接(第3页)来改变事物的状态。第1章使用进化心理学的证据表明,作为全人类的流行病学家都有内在的偏见根源,而``去偏见''(即有​​时会提倡降低人们对研究结果的热情的态度)根本行不通。

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