Research Techniques Made Simple: Interpreting Measures of Association in Clinical Research.
Research Techniques Made Simple: Interpreting Measures of Association in Clinical Research.
复制标题
研究技术变得简单：解释临床研究中的关联测量。
DOI：
10.1016/j.jid.2018.12.023
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Asgari,MaryamM
中科院分区：
文献类型：
--
作者：
Roberts,MichelleR;Ashrafzadeh,Sepideh;Asgari,MaryamM
为了将医学和医疗保健服务的循证改进引入临床实践，医疗保健提供者必须知道如何解释临床研究结果并严格评估证据的强度。这需要了解临床研究设计的差异以及用于识别关联的各种统计方法。我们的目标是为理解流行病学研究中常用的关联衡量标准提供基础，以量化暴露与结果之间的关系，包括相对风险、比值比和风险比。我们还提供了一个严格评估临床研究结果的框架，并强调了具体的方法学问题。
To bring evidence-based improvements in medicine and health care delivery to clinical practice, health care providers must know how to interpret clinical research findings and critically evaluate the strength of evidence. This requires an understanding of differences in clinical study designs and the various statistical methods used to identify associations. We aim to provide a foundation for understanding the common measures of association used in epidemiologic studies to quantify relationships between exposures and outcomes, including relative risks, odds ratios, and hazard ratios. We also provide a framework for critically assessing clinical research findings and highlight specific methodologic concerns.