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Causal Inference 2(으)로 돌아가기

컬럼비아대학교의 Causal Inference 2 학습자 리뷰 및 피드백

14개의 평가
6개의 리뷰

강좌 소개

This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models....
필터링 기준:

Causal Inference 2의 6개 리뷰 중 1~6

교육 기관: Ang K J

2020년 8월 24일

Reading off the slides, no real explanation of concepts or notes provided.

교육 기관: Samuel D

2020년 4월 5일

No engaging. Unable to complete the tasks

교육 기관: Seethu S

2020년 11월 27일

Excellent treatment of mediation, regression discontinuity, longitudinal causal inference, interference and fixed effects. This course has whetted my appetite to dig in to the relevant statistics literature in more detail. The potential outcomes framework is so powerful in terms of delineating causal assumptions and clearly setting up identification conditions for empirical estimation of causal effects.

교육 기관: Huyen N

2020년 5월 1일

This course is painful. Lots of dry maths with no relatable examples. Difficult to follow.

교육 기관: Weijia C

2020년 8월 16일

Too few and easy assessment questions that does not help understand the course much

교육 기관: Vikram M

2019년 10월 21일