In this episode, we explore the importance of covariate selection in causal inference and how different types of variables can influence the results. The discussion highlights why careful covariate selection is essential for generating reliable insights and enabling smarter, evidence-based business decisions.
For more details, you can refer to their published tech blog, linked here for your reference: https://booking.ai/covariate-selection-in-causal-inference-good-and-bad-controls-5f56126a984a