表(数据库)
清晰
外部有效性
内部有效性
排
计算机科学
透明度(行为)
样品(材料)
透视图(图形)
数据科学
列联表
管理科学
心理学
数据挖掘
统计
人工智能
数学
社会心理学
机器学习
工程类
计算机安全
化学
数据库
生物化学
色谱法
作者
Eleanor Hayes‐Larson,Katrina Kezios,Stephen J. Mooney,Gina S. Lovasi
标识
DOI:10.1016/j.jclinepi.2019.06.011
摘要
Abstract
Objective
Epidemiologic and clinical research papers often describe the study sample in the first table. If well-executed, this "Table 1" can illuminate potential threats to internal and external validity. However, little guidance exists on best practices for designing a Table 1, especially for complex study designs and analyses. We aimed to summarize and extend the literature related to reporting descriptive statistics. Study Design and Setting
In consultation with existing guidelines, we synthesized and developed reporting recommendations driven by study design and focused on transparency related to potential threats to internal and external validity. Results
We describe a basic structure for Table 1 and discuss simple modifications in terms of columns, rows, and cells to enhance a reader's ability to judge both internal and external validity. We further highlight several analytic complexities common in epidemiologic research (missing data, sample weights, clustered data, and interaction) and describe possible variations to Table 1 to maintain and add clarity about study validity in light of these issues. We discuss considerations and tradeoffs in Table 1 related to breadth and comprehensiveness vs. parsimony and reader-friendliness. Conclusion
We anticipate that our work will guide authors considering layouts for Table 1, with attention to the reader's perspective.
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