统计分析中的常见陷阱：线性回归分析。

Common pitfalls in statistical analysis: Linear regression analysis.

作者信息

Aggarwal Rakesh, Ranganathan Priya

机构信息

Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.

Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India.

出版信息

Perspect Clin Res. 2017 Apr-Jun;8(2):100-102. doi: 10.4103/2229-3485.203040.

DOI:10.4103/2229-3485.203040

PMID:28447022

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5384397/

Abstract

In a previous article in this series, we explained correlation analysis which describes the strength of relationship between two continuous variables. In this article, we deal with linear regression analysis which predicts the value of one continuous variable from another. We also discuss the assumptions and pitfalls associated with this analysis.

摘要

在本系列的上一篇文章中，我们解释了相关性分析，它描述了两个连续变量之间关系的强度。在本文中，我们将探讨线性回归分析，它可以根据另一个连续变量预测一个连续变量的值。我们还将讨论与此分析相关的假设和陷阱。