Breadth versus depth: balancing variables, sample size, and quality in Chinese cohort studies

<b>Weimin Li and colleagues</b> explore the trade-offs and challenges posed by the increasing scale and complexity of cohort studies, highlighting the central argument that “bigger is not always better”

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Publication Details

Journal
BMJ
Published
2025-10-23
DOI
https://doi.org/10.1136/bmj-2024-082566
Citations
4
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
5.55

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article

Breadth versus depth: balancing variables, sample size, and quality in Chinese cohort studies

Jin Huang, Yifei Lin, Lei Chen, Weimin Li
4 citations
BMJ
Cardiovascular Health and Risk Factors
5.55
article

Breadth versus depth: balancing variables, sample size, and quality in Chinese cohort studies

Jin Huang, Yifei Lin, Lei Chen, Weimin Li
article en
4 citations

Abstract

<b>Weimin Li and colleagues</b> explore the trade-offs and challenges posed by the increasing scale and complexity of cohort studies, highlighting the central argument that “bigger is not always better”

BMJVol. 391
Harvard University (US), Sichuan University (CN), West China Hospital of Sichuan University (CN)
National Natural Science Foundation of China, National Science and Technology Major Project
Openalex Percentile: Top 3%
Cardiovascular Health and Risk Factors
5.55
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