Statistical Biases
Statistical Biases

Statistical Biases

by Raywat Deonandan, PhD

Bias is defined as the systematic tendency to magnify or reduce the significance of a particular group or outcome in the analysis of a data set. In clinical research, bias can be a manifestation of different variables, including technical factors (e.g., poor study design) and personal prejudices that skew inclusion/exclusion criteria.

In this course, the student will be introduced to the different types of bias and how these are manifested in clinical research.

For optimal understanding, the student is required to have preliminary knowledge of epidemiology. Since some concepts may be very abstract to some, it’s encouraged to rewatch some video lectures until the concepts are fully grasped.

Course Details

  • Videos 16
  • Duration 0:42 h
  • Quiz questions 33
  • Concept Pages 3

Content

Your Educators of course Statistical Biases

 Raywat Deonandan, PhD

Raywat Deonandan, PhD

Dr. Raywat Deonandan is a Global Health Epidemiologist and an Associate Professor of Health Sciences at the University of Ottawa, Canada.
He obtained his PhD in Epidemiology and Biostatistics from the University of Western Ontario in 2001. He is also the founder and Executive Editor of the Interdisciplinary Journal of Health Sciences, and an award-winning author and journalist.
Dr. Deonandan embraces new media to engage in public education and co-hosts a science education podcast. In 2016, he received the OCUFA Teaching Award, the highest professorial teaching honour in Ontario.
Within Lecturio, he teaches courses on Epidemiology and Biostatistics."


User reviews

(11)
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Estadistics
By paola B. on 18. December 2021 for Statistical Biases

No entiendo mucho es hard to understand.......I don't know what to say ..

 
Nice and Simple Explanation
By Babur M. on 18. September 2021 for Statistical Biases

It simply and in a nice way explained the Statistical Biases with examples.

 
Great Lectures on Epedimiology
By Dengu D. on 04. May 2021 for Statistical Biases

I have never enjoyed Research basics like discussed here. Thanks Dr Deonandan!

 
Great !
By Bora Ç. on 17. October 2020 for Detection Bias

My favorite part about the lecture is the last example. Presentation and lecture is understandable however I wasn't quite sure whether i grasped it or not. That last part made me to understand the topic better. Thanks, Dr. Raywat !