Practical data considerations for the modern epidemiology student.
Practical data considerations for the modern epidemiology student.
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现代流行病学学生的实用数据注意事项。
DOI：
10.1016/j.gloepi.2021.100066
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发表时间：
2021
影响因子：
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通讯作者：
Goldstein,NealD
中科院分区：
文献类型：
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作者：
Tran,NguyenK;Lash,TimothyL;Goldstein,NealD
作为流行病学研究的固有组成部分，在数据收集和分析过程中做出的实际决策有可能影响疾病发生的测量以及从结果中进行统计和因果推断。然而，收集、操作和评估数据所需的计算技能并不总是教育计划的重点，对“数据科学”的兴趣日益增加表明，数据素养对于确保有效的估计至关重要。在这篇文章中，我们首先激发现代流行病学学生的实际关注，特别是因为它涉及到因果推理的挑战;其次，我们讨论了这种关注如何在典型的流行病学分析中表现出来，并确定潜在的偏见;第三，我们提出了一个案例研究，说明了整个过程;最后，我们提请注意可以帮助流行病学学生将科学的理论基础与本文所述的实际考虑联系起来的资源。
As an inherent part of epidemiologic research, practical decisions made during data collection and analysis have the potential to impact the measurement of disease occurrence as well as statistical and causal inference from the results. However, the computational skills needed to collect, manipulate, and evaluate data have not always been a focus of educational programs, and the increasing interest in “data science” suggest that data literacy has become paramount to ensure valid estimation. In this article, we first motivate such practical concerns for the modern epidemiology student, particularly as it relates to challenges in causal inference; second, we discuss how such concerns may be manifested in typical epidemiological analyses and identify the potential for bias; third, we present a case study that exemplifies the entire process; and finally, we draw attention to resources that can help epidemiology students connect the theoretical underpinning of the science to the practical considerations as described herein.