S. Schmiegel

Validating methods for inferring co-occurring diseases: a flexible framework for simulating synthetic data

A four-step framework to generate synthetic data for the simulation-based validation of statistical methods is proposed, broadly applicable beyond the specific medical use case, and relies on careful, domain-informed parameter curation to generate meaningful synthetic datasets.