Navigating Machine Learning in Clinical Trials

This chapter explores the intricate challenges of applying machine learning to clinical trials, emphasizing the importance of large sample sizes and the pitfalls of underpowered studies. It also examines targeting strategies for interventions, revealing that optimal results come from predicting the lowest-risk individuals for financial aid form submissions.