Chevron Left
返回到 Causal Inference 2

学生对 哥伦比亚大学 提供的 Causal Inference 2 的评价和反馈

3.4
星
14 个评分
•
6 条评论

课程概述

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....
筛选依据：

1 - Causal Inference 2 的 6 个评论（共 6 个）

创建者 Ang K J

•
Aug 24, 2020

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

创建者 Samuel D

•
Apr 5, 2020

No engaging. Unable to complete the tasks

创建者 Seethu S

•
Nov 27, 2020

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.

创建者 Huyen N

•
May 1, 2020

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

创建者 Weijia C

•
Aug 16, 2020

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

创建者 Vikram M

•
Oct 21, 2019

Terrible

Coursera Footer

开拓职业生涯或促进职业发展

浏览热门主题

热门课程和文章

在线获得学位或证书

Coursera

社区

更多

随时随地学习
通过 App Store 下载通过 Google Play 获取
Placeholder