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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Bibliographic Details
Main Authors: Yang, Shu, Du, Peipei, Feng, Xixi, He, Daihai, Chen, Yaolong, Zhong, Linda Lidan, Yan, Xiaodong, Luo, Jiawei
Other Authors: School of Biological Sciences
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/169544
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Institution: Nanyang Technological University
Language: English