An evaluation of synthetic data augmentation for mitigating covariate bias in health data
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Data bias is a major concern in biomedical research, especially when evaluating large-scale observational datasets. It leads to imprecise predictions and inconsistent estimates in standard regression models. We compare the performance of commonly used bias-mit... ...
