コースについて
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.
フィルター：
Causal Inference 2： 1 - 6 / 6 レビュー
by Ang K J
•2020年8月24日
by Samuel D
•2020年4月5日
by Seethu S
•2020年11月27日
by Huyen N
•2020年5月1日
by Weijia C
•2020年8月16日
by Vikram M
•2019年10月21日
Coursera Footer
©2022 Coursera Inc.All rights reserved.
