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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Detalles Bibliográficos
Autores principales: Yang, Shu, Du, Peipei, Feng, Xixi, He, Daihai, Chen, Yaolong, Zhong, Linda L. D., Yan, Xiaodong, Luo, Jiawei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
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

Internet

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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