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前瞻性研究中的偏倚及其避免方法。

Bias in Prospective Research and How to Avoid it.

作者信息

Stenson James F, Kepler Christopher K

机构信息

Department of Orthopaedic Surgery, Rowan University School of Osteopathic Medicine, Stratford, NJ.

Rothman Institute, Thomas Jefferson University, Philadelphia, PA.

出版信息

Clin Spine Surg. 2019 Jul;32(6):254-255. doi: 10.1097/BSD.0000000000000767.

Abstract

Prospective research studies answer clinical questions via randomized control studies or prospective cohort studies. Bias is defined as any deviation from the truth when interpreting data. Broadly speaking, bias is categorized into 3 categories: selection bias, information bias, and confounding bias. Furthermore, misinterpretation of presented statistics in research studies causes acceptance of conclusions which may not necessarily be true. This paper identifies sources of bias in prospective research and instructions to avoid bias.

摘要

前瞻性研究通过随机对照研究或前瞻性队列研究来回答临床问题。偏差被定义为在解释数据时与事实的任何偏离。广义而言,偏差可分为三类:选择偏差、信息偏差和混杂偏差。此外,对研究中所呈现统计数据的错误解读会导致接受不一定正确的结论。本文确定了前瞻性研究中偏差的来源以及避免偏差的指导方法。

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