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Learner Reviews & Feedback for Validity and Bias in Epidemiology by Imperial College London
154 ratings
About the Course
Epidemiological studies can provide valuable insights about the frequency of a disease, its potential causes and the effectiveness of available treatments. Selecting an appropriate study design can take you a long way when trying to answer such a question. However, this is by no means enough. A study can yield biased results for many different reasons. This course offers an introduction to some of these factors and provides guidance on how to deal with bias in epidemiological research. In this course you will learn about the main types of bias and what effect they might have on your study findings. You will then focus on the concept of confounding and you will explore various methods to identify and control for confounding in different study designs. In the last module of this course we will discuss the phenomenon of effect modification, which is key to understanding and interpreting study results. We will finish the course with a broader discussion of causality in epidemiology and we will highlight how you can utilise all the tools that you have learnt to decide whether your findings indicate a true association and if this can be considered causal.
Top reviews
Aug 20, 2020
Another great course from ICL! The course project in week 2 was very helpful: it solidified the concept of how to check for confounding. I highly recommend this course.
Mar 18, 2019
Excellent concise course on the fundamental aspects of epidemiology related to validity, bias, confounding and effect modification.
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26 - 29 of 29 Reviews for Validity and Bias in Epidemiology
By Sadaf A
•Jun 19, 2020
Great experience
By Anand v B
•Jun 17, 2020
Very well taught
By RANJEET S M
•Aug 10, 2019
GOOD
By KAFFLOUMAN K S
•Aug 06, 2020
Une belle expérience qui permit d'acquérir de nombreuses compétences
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