Dependent observations in clinical research

被引：0

作者：

Groenwold, Rolf H. H. ^{[1
,2
]}

Dekkers, Olaf M. ^{[1
,3
,4
,5
]}

机构：

[1] Leiden Univ, Med Ctr, Dept Clin Epidemiol, Albinusdreef 2, NL-2333 ZA Leiden, Netherlands

[2] Leiden Univ, Med Ctr, Dept Biomed Data Sci, Leiden, Netherlands

[3] Aarhus Univ, Dept Clin Epidemiol, Aarhus, Denmark

[4] Aarhus Univ Hosp, Aarhus, Denmark

[5] Leiden Univ, Med Ctr, Dept Endocrinol, Leiden, Netherlands

来源：

EUROPEAN JOURNAL OF ENDOCRINOLOGY | 2024年 / 190卷 / 02期

关键词：

clinical research; epidemiology; bias; statistics;

D O I：

10.1093/ejendo/lvae014

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

For many statistical methods that are commonly used in medical research, it is assumed that observations are independent. However, when this assumption is violated, alternative methods may be needed. In this paper, we describe why an analysis that ignores the dependencies within the data may provide biased results and outline possible alternatives. This paper aims to create awareness among researchers, readers, and reviewers for this possible source of bias in medical research.

引用

页码：E1 / E3

页数：3

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