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
Syllabus

FAQs
How It Works
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Certificats
Certificats

Obtenez une reconnaissance officielle pour votre travail et partagez votre réussite avec vos amis, vos collègues et vos employeurs.

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.
Pricing
Acheter le coursAuditeur libre
Accéder au contenu du cours

Available

Available

Accéder au contenu noté

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Not available

Recevoir une Note Finale

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Obtenir un Certificat de Cours partageable

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Ratings and Reviews
Rated 4.9 out of 5 of 26 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