理解研究中的统计噪声：2. 临床试验和观察性研究中的噪声。
Understanding Statistical Noise in Research: 2. Noise in Clinical Trials and Observational Studies.
作者信息
Andrade Chittaranjan
机构信息
Dept. of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India.
出版信息
Indian J Psychol Med. 2023 Mar;45(2):198-200. doi: 10.1177/02537176221149162. Epub 2023 Feb 1.
Abstract
The previous article in this series explained basic concepts related to statistical signals and statistical noise in research. This article explains statistical noise in the context of randomized controlled trials (RCTs) and observational studies and offers suggestions on how noise in such studies may be reduced so as to better detect and understand the signal. Postrandomization bias related to RCTs and confounding in observational studies are discussed. Examples are provided to facilitate understanding.
摘要
本系列的上一篇文章解释了研究中与统计信号和统计噪声相关的基本概念。本文将在随机对照试验（RCT）和观察性研究的背景下解释统计噪声，并就如何减少此类研究中的噪声以更好地检测和理解信号提供建议。文中还讨论了与随机对照试验相关的随机化后偏倚以及观察性研究中的混杂因素。并提供了示例以助于理解。
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