Propensity score analysis with missing data using a multi-task neural network
Background: Propensity score analysis is increasingly used to control for confounding factors in observational studies. Unfortunately, unavoidable missing values make estimating propensity scores extremely challenging. We propose a new method for estimating propensity scores in data with missing val...
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Main Authors: | Yang, Shu, Du, Peipei, Feng, Xixi, He, Daihai, Chen, Yaolong, Zhong, Linda Lidan, Yan, Xiaodong, Luo, Jiawei |
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Other Authors: | School of Biological Sciences |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/169544 |
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Institution: | Nanyang Technological University |
Language: | English |
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