Combining propensity score methods with variational autoencoders for generating synthetic data in presence of latent sub-groups

• Published in: arXiv.org
• Main Authors: Farhadyar, Kiana, Bonofiglio, Federico, Hackenberg, Maren, Zoeller, Daniela, Binder, Harald
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 12.12.2023
• Subjects: Deep learning; Heterogeneity; Statistical analysis; Synthetic data

In settings requiring synthetic data generation based on a clinical cohort, e.g., due to data protection regulations, heterogeneity across individuals might be a nuisance that we need to control or faithfully preserve. The sources of such heterogeneity might be known, e.g., as indicated by sub-group...