Causal Inference Basics: Average Treatment Effects (ATE, ATT, ATU) скачать в хорошем качестве

Causal Inference Basics: Average Treatment Effects (ATE, ATT, ATU)

Ever wondered how to measure the true impact of your marketing campaign? 📊 In this video, we break down ATE, ATT & ATU with clear formulae and derivations from core stats concepts. This video explains the core treatment effects in causal analysis — ATE, ATT, and ATU — with a focus on how they apply to marketing and business decision-making. I not only give the definitions and formulae, but also walk through the derivations step by step using basic statistical concepts like expectation and conditional probability. If you work in marketing analytics, causal inference, or data-driven decision-making, this will help you understand how treatment effects can measure the true impact of campaigns, interventions, and strategies. Here is the Notion doc: https://www.notion.so/Treatment-Effec... #causalinference #causality #marketingscience #marketingeffectiveness #marketingmeasurement #marketinganalytics