Who is this class for: Familiarity with traditional statistical methods, such as regression models, and basic probability recommended. Familiarity with free statistical environment R recommended. Learners should successfully download R before starting the course.


Created by:  University of Pennsylvania

  • Jason A. Roy, Ph.D.

    Taught by:  Jason A. Roy, Ph.D. , Associate Professor of Biostatistics

    Department of Biostatistics, Epidemiology, and Informatics
LevelIntermediate
Commitment5 weeks of study, 3-5 hours per week
Language
English
Hardware ReqLearners must download R, the free software environment, in order to complete assessments.
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said
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Coursework
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Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Creators
University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
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Ratings and Reviews
Rated 4.9 out of 5 of 24 ratings

Good intro of the techniques.

This is a great course for anyone interested in learning more about Causality and models for its estimation. I am a physician with limited statistical knowledge, but was able to follow this course with little difficulty, including analysis in R (though I do know how to run STATA and command line). I would recommend this course to anyone interested in performing a propensity matching study.

The best lecture series of causality

enjoyed it very much