Determining Cause-and-Effect Relationships from Observational Data Understanding cause-and-effect relationships is crucial in many fields, from medicine to economics. However, establishing these relationships can be challenging, especially when using observational data. Causal inference offers methods to determine these connections, even without controlled experiments. What is Causal Inference? Causal inference involves identifying and quantifying the effect of…