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Propensity-score matching with GAN-generated observations from electronic health records: simulation study and application to the evaluation of prone positioning in COVID-19 patients under mechanical ventilation

2025-08-01

Abstract excerpt

<h4>Background</h4> Propensity score (PS) methods are widely used in observational studies to estimate causal effects, but they often exclude patients due to a lack of comparable counterparts, leading to reduced power and potential bias. Generative adversarial networks (GANs) have shown promise in creating synthetic data, but their application to causal inference remains underexplored. Synthetic data could be use...

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Literature Corpus work
0caddea5-bb44-520e-af52-0ef9e8f8fe75
DOI
10.1101/2025.07.31.25332504
Open publication

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Propensity-score matching with GAN-generated observations from electronic health records: simulation study and application to the evaluation of prone positioning in COVID-19 patients under mechanical ventilationDOI 10.1101/2025.07.31.25332504
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