G-methods in the existence of time varying confounding

QIU Qin-xiao; YOU Dong-fang; ZHAO Yang

doi:10.16462/j.cnki.zhjbkz.2021.06.002

Volume 25 Issue 6

Jul. 2021

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QIU Qin-xiao, YOU Dong-fang, ZHAO Yang. G-methods in the existence of time varying confounding[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(6): 625-631. doi: 10.16462/j.cnki.zhjbkz.2021.06.002

Citation:

QIU Qin-xiao, YOU Dong-fang, ZHAO Yang. G-methods in the existence of time varying confounding[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(6): 625-631. doi: 10.16462/j.cnki.zhjbkz.2021.06.002

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G-methods in the existence of time varying confounding

doi: 10.16462/j.cnki.zhjbkz.2021.06.002

1.
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China
2.
Key Laboratory of Biomedical Big Data, Nanjing Medical University, Collaborative Innovation Center for Individual Medicine in Cancer, Nanjing 211166, China

Funds:

National Key Research and Development Program of China 2016YFC1000207

National Natural Science Foundation of China 81872709

Key Project of University Natural Scientific Research of Jiangsu Province 18KJA110004

More Information

Corresponding author: ZHAO Yang, E-mail: yzhao@njmu.edu.cn
Received Date: 2021-04-28
Rev Recd Date: 2021-05-28
Publish Date: 2021-06-10

Abstract

Abstract

Objective To introduce and compare different G-methods which can deal with time varying confounding. Methods The simulation experiments of four scenarios were carried out to verify the effects of different G-methods on time varying confounding in different situations. Dataset from UK Biobank was then analyzed using different G-methods. Results All three G methods can effectively deal with time varying confounding with similar performance, while G-computation was vulnerable to G-null paradox. However, with the increasing number of time varying confounders, the estimated effects of inverse probability of treatment weighting (IPTW) were more variable. Conclusion All of the three G-methods can remove the bias resulted from time varying confounding appropriately.
- Time varying confounding,
- Collider bias,
- G-methods

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References(18)

References

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