課程信息
This course offers a rigorous mathematical survey of 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 methods for collecting data to estimate causal relationships. Students will learn how to distinguish between relationships that are causal and non-causal; this is not always obvious. We shall then study and evaluate the various methods students can use — such as matching, sub-classification on the propensity score, inverse probability of treatment weighting, and machine learning — to estimate a variety of effects — such as the average treatment effect and the effect of treatment on the treated. At the end, we discuss methods for evaluating some of the assumptions we have made, and we offer a look forward to the extensions we take up in the sequel to this course....
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Advanced Level

高級

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Approx. 22 hours to complete

建議:6 weeks of study, 3-5 hours per week...
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English

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Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Advanced Level

高級

Clock

Approx. 22 hours to complete

建議:6 weeks of study, 3-5 hours per week...
Comment Dots

English

字幕:English...

教學大綱 - 您將從這門課程中學到什麼

Week
1
Clock
完成時間為 2 小時

MODULE 1: Key Ideas

...
Reading
4 個視頻(共 57 分鐘), 2 個閱讀材料
Video4 個視頻
Lesson 1: Causation12分鐘
Lesson 2: Potential Outcome, Unit and Average Effects14分鐘
Lesson 3: Ignorability: Bridging the Gap Between Randomized Experiments and Observational Studies12分鐘
Reading2 個閱讀材料
Intro Survey10分鐘
Welcome to Module 130分鐘
Week
2
Clock
完成時間為 2 小時

Module 2: Randomization Inference

...
Reading
3 個視頻(共 31 分鐘), 1 個閱讀材料, 1 個測驗
Video3 個視頻
Lesson 2: Testing the Null Hypothesis of No Treatment Effect15分鐘
Lesson 3: Randomization Inference6分鐘
Reading1 個閱讀材料
Welcome to Module 210分鐘
Quiz1 個練習
Module 2: Assessment30分鐘
Week
3
Clock
完成時間為 2 小時

MODULE 3: Regression

...
Reading
3 個視頻(共 28 分鐘), 1 個閱讀材料, 1 個測驗
Video3 個視頻
Lesson 2: Estimating the ATE: A Regression Approach9分鐘
Lesson 3: Estimating the ATE: Regression Analysis with Covariates7分鐘
Reading1 個閱讀材料
Welcome to Module 310分鐘
Quiz1 個練習
Module 3: Assessment30分鐘
Week
4
Clock
完成時間為 2 小時

Module 4: Propensity Score

...
Reading
3 個視頻(共 27 分鐘), 1 個閱讀材料, 1 個測驗
Video3 個視頻
Lesson 2: Estimating the ATE Using Sub-Classification on the Propensity Score9分鐘
Lesson 3: Estimating the ATE Using Inverse Probability of Treatment Weighting7分鐘
Reading1 個閱讀材料
Welcome to Module 410分鐘
Quiz1 個練習
Module 4 Assessment30分鐘

講師

Michael E. Sobel

Professor
Department of Statistics

關於 Columbia University

For more than 250 years, Columbia has been a leader in higher education in the nation and around the world. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries and service to society....

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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