STAT 286 - Causal Inference with Applications Learning Course

[STAT 286 - Causal Inference with Applications Learning Course] STAT 286 - Causal Inference with Applications STAT 286 explores causal inference methods used to identify causal relationships from observational and experimental data. The course covers topics such as potential outcomes framework, propensity score matching, instrumental variables, and regression discontinuity design. Emphasis is placed on understanding the assumptions and limitations of different causal inference methods, assessing causal effects, and drawing valid conclusions about cause and effect relationships in social, biomedical, and policy research. Through theoretical principles and case studies, students learn how to apply causal inference techniques, interpret causal findings, and make evidence-based decisions in areas such as public health, economics, and social sciences.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.