Case Study: Applying Causal Inference in Healthcare Data

Causal inference focuses on identifying cause-and-effect relationships within data. In healthcare, this approach plays a vital role in answering critical questions, such as whether a new drug reduces hospital stays. It transforms real-world data into actionable insights, enabling better patient outcomes and efficient resource use. Real-world evidence in…