Об этом курсе
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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Approx. 22 hours to complete

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

Субтитры: English...
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Advanced Level

Продвинутый уровень

Clock

Approx. 22 hours to complete

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

English

Субтитры: English...

Программа курса: что вы изучите

Week
1
Clock
2 ч. на завершение

MODULE 1: Key Ideas

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Reading
4 видео (всего 57 мин.), 2 материалов для самостоятельного изучения
Video4 видео
Lesson 1: Causation12мин
Lesson 2: Potential Outcome, Unit and Average Effects14мин
Lesson 3: Ignorability: Bridging the Gap Between Randomized Experiments and Observational Studies12мин
Reading2 материала для самостоятельного изучения
Intro Survey10мин
Welcome to Module 130мин
Week
2
Clock
2 ч. на завершение

Module 2: Randomization Inference

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Reading
3 видео (всего 31 мин.), 1 материал для самостоятельного изучения, 1 тест
Video3 видео
Lesson 2: Testing the Null Hypothesis of No Treatment Effect15мин
Lesson 3: Randomization Inference6мин
Reading1 материал для самостоятельного изучения
Welcome to Module 210мин
Quiz1 практическое упражнение
Module 2: Assessment30мин
Week
3
Clock
2 ч. на завершение

MODULE 3: Regression

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Reading
3 видео (всего 28 мин.), 1 материал для самостоятельного изучения, 1 тест
Video3 видео
Lesson 2: Estimating the ATE: A Regression Approach9мин
Lesson 3: Estimating the ATE: Regression Analysis with Covariates7мин
Reading1 материал для самостоятельного изучения
Welcome to Module 310мин
Quiz1 практическое упражнение
Module 3: Assessment30мин
Week
4
Clock
2 ч. на завершение

Module 4: Propensity Score

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Reading
3 видео (всего 27 мин.), 1 материал для самостоятельного изучения, 1 тест
Video3 видео
Lesson 2: Estimating the ATE Using Sub-Classification on the Propensity Score9мин
Lesson 3: Estimating the ATE Using Inverse Probability of Treatment Weighting7мин
Reading1 материал для самостоятельного изучения
Welcome to Module 410мин
Quiz1 практическое упражнение
Module 4 Assessment30мин

Преподаватель

Michael E. Sobel

Professor
Department of Statistics

О 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....

Часто задаваемые вопросы

  • 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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