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
4.8 stars
Average User Rating 4.8See what learners said
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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 4.8 out of 5 of 20 ratings

Overall great! Provides adequate background and practical enough. Can't ask for more.

Thanks

enjoyed it very much

Not only good for bio stats, it has also profound impact to my understanding of a/b testing in the internet world.

Very approachable as someone with a Masters in Statistics, probably tough if you are not comfortable with notation and concepts of intermediate prob/stats. Extremely clear and concise presentation. Coverage of methodology is a little weak, there is not enough discussion of the dangers of doing causal inference on observational data, nor of the dangers of the proposed methods. For instance, propensity score matching is ineffective or even harmful in the face of hidden confounders, which in the real world you almost always have.