[Comparing synthetic data generation methods in pharmacoepidemiology: reconciling reproducibility with privacy protection].

TL;DR

This study compares two methods of generating tabular synthetic data: synthpop, based on transparent and interpretable inferential methodologies, and Conditional Tabular-Generative Adversarial Networks (CT-GANs), which leverage deep learning approaches to reproduce complex multivariate distributions.