A simulation comparison and application study of extreme weighting methods in propensity score inverse probability weighting

XU Maomao; GAO Rongrong; GAO Qian; WANG Juping; WANG Jiale; WANG Tong

doi:10.16462/j.cnki.zhjbkz.2024.01.011

Volume 28 Issue 1

Jan. 2024

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XU Maomao, GAO Rongrong, GAO Qian, WANG Juping, WANG Jiale, WANG Tong. A simulation comparison and application study of extreme weighting methods in propensity score inverse probability weighting[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 69-74. doi: 10.16462/j.cnki.zhjbkz.2024.01.011

Citation:

XU Maomao, GAO Rongrong, GAO Qian, WANG Juping, WANG Jiale, WANG Tong. A simulation comparison and application study of extreme weighting methods in propensity score inverse probability weighting[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 69-74. doi: 10.16462/j.cnki.zhjbkz.2024.01.011

Citation:

XU Maomao, GAO Rongrong, GAO Qian, WANG Juping, WANG Jiale, WANG Tong. A simulation comparison and application study of extreme weighting methods in propensity score inverse probability weighting[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(1): 69-74. doi: 10.16462/j.cnki.zhjbkz.2024.01.011

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A simulation comparison and application study of extreme weighting methods in propensity score inverse probability weighting

doi: 10.16462/j.cnki.zhjbkz.2024.01.011

Department of Health Statistics, School of Public Health, Shanxi Medical University, MOE Key Laboratory of Coal Environmental Pathogenicity and Prevention, Taiyuan 030001, China

Funds:

National Natural Science Foundation of China 82073674

National Natural Science Foundation of China 82204163

Basic Research Project of Shanxi Province 202203021212382

More Information

Corresponding author: WANG Tong, E-mail: tongwang@sxmu.edu.cn
Received Date: 2023-05-11
Rev Recd Date: 2023-08-26

Available Online: 2024-02-05

Publish Date: 2024-01-10

Abstract

Abstract

Objective This paper proposes a simulation study to compare the performance of propensity score inverse probability weighting (IPW) and its five alternatives under limited overlap and propensity score model misspecification. Additionally, it seeks to employ these methods to explore the relationship between serum total 25-hydroxyvitamin D [25(OH)D] deficiency and sleep duration in adults. Methods The statistical performance of these six methods was compared through Monte Carlo simulations by setting up simulation scenarios with different sample sizes, propensity score overlap, and model-specified cases. Results Simulation results showed that IPW is particularly sensitive to differences in overlap and model misspecification, while alternative methods showed greater stability and higher efficiency. Notably, the overlap weights (OW) method provided the most accurate effect estimates. It was observed that adults with total serum 25(OH)D deficiency have shorter sleep duration compared to those with adequate total serum 25(OH)D (P < 0.001). Conclusions The OW method can be used as an optimal alternative to the IPW method in the presence of extreme weights. The study also concludes that serum total 25(OH)D deficiency reduces sleep duration in adults.
- Propensity score,
- Inverse probability weighting,
- Extreme weights,
- 25-hydroxyvitamin D,
- Sleep duration

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References(21)

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