Observational studies: practical tips for avoiding common statistical pitfalls

IF 6.2 Q1 HEALTH CARE SCIENCES & SERVICES The Lancet regional health. Southeast Asia Pub Date : 2024-05-09 DOI:10.1016/j.lansea.2024.100415
Anna Freni Sterrantino
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Abstract

This Personal View is intended for early-career researchers who are not yet experts in statistics. The Personal View focuses on common but usually avoidable flaws in the context of observational studies. I point out how study design, data collection, and statistical methods impact statistical results and research conclusions. With particular attention to study planning, sample selection, biases, lack of transparency and results misinterpretations.

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观察研究:避免常见统计陷阱的实用技巧
本 "个人观点 "面向尚未成为统计学专家的早期研究人员。个人观点》侧重于观察研究中常见但通常可以避免的缺陷。我指出研究设计、数据收集和统计方法如何影响统计结果和研究结论。特别关注研究规划、样本选择、偏差、缺乏透明度和结果误读。
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