Causal inference methodology for the screening of indicators for health indices

LIU Xin-hui; LI Hong-kai; WANG Li-jie; LIU Ai-ling; QI Yue; SUN Shan-shan; ZHANG Lan-fang; JI Huai-jun; LIU Gui-yuan; ZHAO Huan; JIANG Yi-nan; LI Jing-yi; SONG Cheng-cun; YU Xin; YANG Liu; YU Jin-chao; FENG Hu; YANG Fu-jun; XUE Fu-zhong

doi:10.16462/j.cnki.zhjbkz.2022.10.012

Volume 26 Issue 10

Oct. 2022

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Article Navigation > CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION > 2022 > 26(10): 1180-1186

LIU Xin-hui, LI Hong-kai, WANG Li-jie, LIU Ai-ling, QI Yue, SUN Shan-shan, ZHANG Lan-fang, JI Huai-jun, LIU Gui-yuan, ZHAO Huan, JIANG Yi-nan, LI Jing-yi, SONG Cheng-cun, YU Xin, YANG Liu, YU Jin-chao, FENG Hu, YANG Fu-jun, XUE Fu-zhong. Causal inference methodology for the screening of indicators for health indices[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(10): 1180-1186. doi: 10.16462/j.cnki.zhjbkz.2022.10.012

Citation:

LIU Xin-hui, LI Hong-kai, WANG Li-jie, LIU Ai-ling, QI Yue, SUN Shan-shan, ZHANG Lan-fang, JI Huai-jun, LIU Gui-yuan, ZHAO Huan, JIANG Yi-nan, LI Jing-yi, SONG Cheng-cun, YU Xin, YANG Liu, YU Jin-chao, FENG Hu, YANG Fu-jun, XUE Fu-zhong. Causal inference methodology for the screening of indicators for health indices[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(10): 1180-1186. doi: 10.16462/j.cnki.zhjbkz.2022.10.012

Citation:

LIU Xin-hui, LI Hong-kai, WANG Li-jie, LIU Ai-ling, QI Yue, SUN Shan-shan, ZHANG Lan-fang, JI Huai-jun, LIU Gui-yuan, ZHAO Huan, JIANG Yi-nan, LI Jing-yi, SONG Cheng-cun, YU Xin, YANG Liu, YU Jin-chao, FENG Hu, YANG Fu-jun, XUE Fu-zhong. Causal inference methodology for the screening of indicators for health indices[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(10): 1180-1186. doi: 10.16462/j.cnki.zhjbkz.2022.10.012

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Causal inference methodology for the screening of indicators for health indices

doi: 10.16462/j.cnki.zhjbkz.2022.10.012

1.
Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
2.
National Institute of Health Data Science of China, Jinan 250003, China
3.
Department of Pulmonary and Critical Care Medicine, Weihai Municipal Hospital, Weihai 264299, China
4.
Department of Oncology, Weihai Municipal Hospital, Weihai 264299, China
5.
Department of Chemotherapy, Weihai Municipal Hospital, Weihai 264299, China
6.
Department of Thoracic Surgery, Weihai Municipal Hospital, Weihai 264299, China
7.
Department of Radiology, Weihai Municipal Hospital, Weihai 264299, China
8.
Department of Oncology, The Second Medical College of Binzhou Medical University, Binzhou 256699, China
9.
Department of Radiotherapy, Weihai Municipal Hospital, Weihai 264299, China

Funds:

National Key Research and Development Program of China 2020YFC2003500

More Information

Corresponding author: YANG Fu-jun, E-mail: 58500775@qq.com; XUE Fu-zhong, E-mail: xuefzh@sdu.edu.cn
Received Date: 2022-05-09
Rev Recd Date: 2022-08-29
Publish Date: 2022-10-10

Abstract

Abstract

The construction and development of the health index system have important strategic significance for promoting the realization of the Healthy China initiative. Starting from the real-world data, it is essential to screen indicators for health indices that are definite causes of diseases and can be prevented through a series of causal inference methods. This can provide valuable real-world evidence that is closer to the practice of health/disease management. According to the need for evidence-based medicine for health index construction, this paper introduces population-level causal effect estimation methods that are widely used in real-world studies, aiming at providing methodological support for the screen of indicators for health index.
- Real-world data,
- Health index,
- Causal inference,
- Confounding bias

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References(29)

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