Dependent observations in clinical research

Rolf H.H. Groenwold; Olaf M. Dekkers

doi:10.1093/ejendo/lvae014

Dependent observations in clinical research

Rolf H.H. Groenwold^*, Olaf M. Dekkers

^*Corresponding author for this work

Department of Clinical Medicine - Department of Clinical Epidemiology

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Abstract

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.

Original language	English
Journal	European Journal of Endocrinology
Volume	190
Issue	2
Pages (from-to)	E1-E3
ISSN	0804-4643
DOIs	https://doi.org/10.1093/ejendo/lvae014
Publication status	Published - Feb 2024

Keywords

bias
clinical research
epidemiology
statistics

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10.1093/ejendo/lvae014

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title = "Dependent observations in clinical research",

abstract = "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.",

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AU - Dekkers, Olaf M.

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AB - 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.

KW - bias

KW - clinical research

KW - epidemiology

KW - statistics

U2 - 10.1093/ejendo/lvae014

DO - 10.1093/ejendo/lvae014

M3 - Journal article

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AN - SCOPUS:85184833698

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VL - 190

SP - E1-E3

JO - European Journal of Endocrinology

JF - European Journal of Endocrinology

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ER -

Dependent observations in clinical research

Abstract

Keywords

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