Bridging Biostatistics and Machine Learning in Real-World Evidence (RWE) Studies
Introduction. In today’s data-rich healthcare landscape, the integration of Real-World Evidence (RWE) with advanced analytics is transforming how we understand treatments, outcomes, and populations. However, as machine learning (ML) becomes a buzzword in RWE analytics, a critical challenge emerges: how do we harness the power of ML while maintaining the scientific rigor and interpretability demanded […]

