Measures of Association

Measures of Association

Measures of Association

by Raywat Deonandan, PhD

Simplify your learning process!

This course will review the key concepts behind measures of association. Through high-yield lectures, supported by interactive quizzes, topic reviews and mnemonics, you will explore a wide variety of coefficients that measure statistical strength. Gain the required depth of knowledge necessary to achieve your test goals or increase your professional knowledge base.

This course will cover all of the following, essential concepts:

Relative Risk
Attributable Risk
Odds Ratio

You will have direct access to self-paced lectures led by Dr. Raywat Deonandan, Assistant Professor of Health Sciences at the University of Ottawa. Dr. Deonandan's goal is to make learning efficient and effective. Make your learning process easy, start reviewing with an expert today.

Course Details

Videos 8
Duration 0:26 h
Quiz questions 11
Articles 2

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Your Educators of course Measures of Association

Raywat Deonandan, PhD

Dr. Raywat Deonandan is an Associate Professor of Health Sciences at the University of Ottawa, an epidemiologist, a global health researcher, and best-selling novelist. His research interests include the epidemiological trends in global burdens of disease, the social and moral dimensions of risk perception, and other global health related topics. Furthermore, Dr. Deonandan is an award-winning journalist with features in the Toronto Star, the Huffington Post and other publications. Presently, he sits on the Board of Directors of the Canadian Society of Epidemiology and Biostatistics, and is the founder and Executive Editor of the Interdisciplinary Journal of Health Sciences.
Dr. Deonandan is keenly interested in spreading knowledge about epidemiology globally, be it through social media or via innovative teaching methods.

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Very good definitions for PAR and AR

By Keila O. on 04. March 2021 for Attributable Risk – Attributable Risk and Odds Ratio (Measures of Association)

Thanks! I just wish I could've understood RRR, RR and ARR better in the previous lecture

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