Random sampling: a causal perspective

MU Yutong; GUO Yang; LI Qing; ZHANG Miao; SUO Chen; LI Yaxin; LIU Haiyan; HU Anqun; ZHENG Yingjie

doi:10.16462/j.cnki.zhjbkz.2023.08.020

Volume 27 Issue 8

Aug. 2023

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MU Yutong, GUO Yang, LI Qing, ZHANG Miao, SUO Chen, LI Yaxin, LIU Haiyan, HU Anqun, ZHENG Yingjie. Random sampling: a causal perspective[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 989-992. doi: 10.16462/j.cnki.zhjbkz.2023.08.020

Citation:

MU Yutong, GUO Yang, LI Qing, ZHANG Miao, SUO Chen, LI Yaxin, LIU Haiyan, HU Anqun, ZHENG Yingjie. Random sampling: a causal perspective[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 989-992. doi: 10.16462/j.cnki.zhjbkz.2023.08.020

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Random sampling: a causal perspective

doi: 10.16462/j.cnki.zhjbkz.2023.08.020

1.
Department of Epidemiology, Key Laboratory for Health Technology Assessment, National Health Commission of the people′s Republic of China, School of Public Health, Fudan University, Shanghai 200032, China
2.
Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China
3.
Affiliated Anqing Hospital of Anhui Medical University, Anqing Municipal Hospital, Anqing 246003, China

Funds:

National Natural Science Foundation of China 82173582

National Natural Science Foundation of China 81373065

National Natural Science Foundation of China 81773490

More Information

Corresponding author: ZHENG Yingjie, E-mail: yjzheng@fudan.edu.cn; yjzheng@fudan.edu.cn
Received Date: 2021-09-08
Rev Recd Date: 2022-03-12

Available Online: 2023-09-02

Publish Date: 2023-08-10

Abstract

Abstract

This article explained the structure and principle of simple random sampling, cluster sampling, and stratification sampling from the perspective of causal graphs. The process of generation and adjustment of sampling bias was clearly presented. We found that: when the target attribute of the study was related to other attributes which affected the selection of the samples, the representative of the sample would be biased. In other words, the sampling bias or the systematic error of sampling would appear. When selecting sampling methods, cluster sampling requires heterogeneity within clusters but homogeneity among clusters. In contrast, stratified sampling requires the opposite way. Finally, this paper provides a route for the selection of sampling methods in practical research work, which can help readers to improve the acknowledgment of random sampling and consider the best sampling method.
- Sampling,
- Causal graphs,
- Sampling bias,
- Stratification sampling,
- Cluster sampling

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References(9)

References

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