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3. Improving transparency to build trust in real‐world secondary data studies for hypothesis testing—Why, what, and how: recommendations and a road map from the real‐world evidence transparency initiative. Issue 11 (13th September 2020)

5. Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. (20th March 2020)