Adversarial random forests generate synthetic epidemiological data that aligns with original findings across six replication studies from German and Canadian cohorts.
Navigating tabular data synthesis research understanding user needs and tool capabilities
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
q-bio.QM 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Can synthetic data reproduce real-world findings in epidemiology? A replication study using adversarial random forests
Adversarial random forests generate synthetic epidemiological data that aligns with original findings across six replication studies from German and Canadian cohorts.