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	Statistical machine learning for randomised clinical trials (The Alan Turing Institute) View
	Using machine learning predictions to design more efficient MS clinical trials (VJNeurology) View
	Accelerating Clinical Trials with AI: The Future of AI and Health \| Michael Lingzhi Li \| TEDxBoston (TEDx Talks) View
	Multi-disciplinary fairness considerations in machine learning for clinical trials (ACM FAccT Conference) View
	How Factorial Design Works \| NEJM Evidence (NEJM Group) View
	Access Evidence: Interpreting Time-to-Event and Survial Data (Roche) View
	Using R to Detect Outliers and Anomalies in Clinical Trial Data (Steven Schwager) (R Consortium) View
	Randomization in Clinical Trials (Quanticate) View
	Randomization and planned ARM in clinical trials (Smart Clinical Training) View
	ITE inference: post-hoc analysis of clinical trials (van der Schaar Lab) View