Two Paradoxes in Linear Regression Analysis.

上海精神医学 Pub Date : 2016-12-25 DOI:10.11919/j.issn.1002-0829.216084

Ge Feng, Jing Peng, Dongke Tu, Julia Z Zheng, Changyong Feng

引用次数: 6

Abstract

Regression is one of the favorite tools in applied statistics. However, misuse and misinterpretation of results from regression analysis are common in biomedical research. In this paper we use statistical theory and simulation studies to clarify some paradoxes around this popular statistical method. In particular, we show that a widely used model selection procedure employed in many publications in top medical journals is wrong. Formal procedures based on solid statistical theory should be used in model selection.

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线性回归分析中的两个悖论。

回归是应用统计学中最受欢迎的工具之一。然而，对回归分析结果的误用和误读在生物医学研究中很常见。在本文中，我们使用统计理论和模拟研究来澄清围绕这种流行的统计方法的一些悖论。特别是，我们表明在许多顶级医学期刊出版物中广泛使用的模型选择程序是错误的。模型选择应采用基于可靠统计理论的正式程序。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

上海精神医学

自引率

0.00%

发文量

2341

期刊介绍： Shanghai archives of psychiatry (bimonthly) was founded in 1959 and is sponsored by Shanghai Mental Health Center. The journal is aimed at mental health workers across the country, including psychiatrists and nurses, clinical psychologists, social workers, and people who are committed to the cause of mental health. It focuses on reporting clinical research results and practical experience in the field of psychiatry, and introduces the latest knowledge in psychiatry and related fields. The columns include monographs, case reports, clinical case discussions, reviews, mental health and law, and debates and discussions.