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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...
Autores principales: | Yang, Shu, Du, Peipei, Feng, Xixi, He, Daihai, Chen, Yaolong, Zhong, Linda L. D., Yan, Xiaodong, Luo, Jiawei |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930709/ https://www.ncbi.nlm.nih.gov/pubmed/36793016 http://dx.doi.org/10.1186/s12874-023-01847-2 |
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