FD
5.0Reviewed Apr 6, 2020
very helpful courses, presented in a very simplified and concise way
Prof. Filippidis, your lectures are a thing to fall in love with. Thank you professor for such amazing lectures.
Validity and Bias in Epidemiology
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.
Status: Biostatistics
Status: Statistical Analysis
IntermediateCourse7 hours
Featured reviews
HH
5.0Reviewed Aug 28, 2019
Cobrehesive, Illustrated in an easy not complicated approach, I enjoyed it
TB
5.0Reviewed Aug 8, 2020
Prof. Filippidis, your lectures are a thing to fall in love with. Thank you professor for such amazing lectures.
RP
5.0Reviewed Jan 31, 2021
Very useful course mainly for understanding how to design correctly a study but also during analysis phase. It makes you reflect on aspects you might not consider by default. Fully recommended.
DK
5.0Reviewed Sep 28, 2019
Thank you a lot for providing the greatest opportunity.
CV
5.0Reviewed Dec 27, 2020
Great course and great specialisation. Looking forward to the next two!
BB
5.0Reviewed Mar 17, 2019
Excellent concise course on the fundamental aspects of epidemiology related to validity, bias, confounding and effect modification.
MD
5.0Reviewed Aug 19, 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.
GO
5.0Reviewed Aug 22, 2023
amazing course that makes me love & enjoy epidemiology. Thankyou to all instructors!
TG
5.0Reviewed Jul 5, 2020
Excellent course! If you expect to learn about epidemiological studies, their differences, grade of evidence and develop general knowledge on the subject I recommend this course.
U
5.0Reviewed May 22, 2021
Great course, very informative. Great facilitators!
JR
5.0Reviewed Aug 22, 2020
A very interesting and informative course evaluating confounding and bias in epidemiological research.
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Tuneer Biswas
5.0
Reviewed Aug 9, 2020Bruno Adler Maccagnan Pinheiro Besen
5.0
Reviewed Mar 18, 2019Excellent concise course on the fundamental aspects of epidemiology related to validity, bias, confounding and effect modification.
Jeffrey Robens
5.0
Reviewed Aug 23, 2020A very interesting and informative course evaluating confounding and bias in epidemiological research.
Deleted Account
5.0
Reviewed Jul 3, 2019This course my favourite out of the 3 within the Epidemiology Specialisation.
Jose Luis Villca Villegas
5.0
Reviewed Dec 16, 2019It is a good course about validity and bias
Muhammed Edib Mokresh
5.0
Reviewed Sep 5, 2020GREAT COURSE!
Aedrian Abrilla
5.0
Reviewed Jan 16, 2021This course is an impressive conclusion to the Coursera Specialization where it belongs, and truly builds on the previous 2 courses (Measuring Disease in Epidemiology and Study Designs in Epidemiology). I would recommend this course to public health/epidemiology graduate students who need more material to understand the difference between confounding and effect modification.
Sonali Dinushika Gunasekara
5.0
Reviewed Jul 25, 2020This is such an amazing course which was really helpful for me in improving knowledge on the different types of bias in epidemiology and how to control them for increasing the validity of the study. The most appreciative thing is the opportunity provided here for learning from the examples given after each lecture and particularly the peer learning process.
Deusdenir de Souza Matis
5.0
Reviewed Sep 7, 2019Excellent. Bias, Confounding and Effect modifier are important issues to consider in a research. I indicate for all professionals to learn because is crucial to select scientific studies with confidence grade and as well do researchers more accurate.
Allen Thach
5.0
Reviewed Apr 27, 2020Excellent series of courses. From discussing the types of studies, to evaluating the validity and bias in studies. Very pleased with the instructors. They explained everything very well. I liked the exercises that we did to cement the knowled
M P
5.0
Reviewed Mar 29, 2020The course simple and clear provides efficient training for some aspects of statistics (esp confounding). Only what was little cons - I waited several days for peers' homework uploading, to review them. Overall - I recommend the course.
Anushka Kore
5.0
Reviewed May 15, 2020Overall great study experience! I would recommend this course to my fellow classmates.
A big shoutout to the Imperial College London team for making this specialization informative and valuable indeed.
Roxana Popa
5.0
Reviewed Feb 1, 2021Very useful course mainly for understanding how to design correctly a study but also during analysis phase. It makes you reflect on aspects you might not consider by default. Fully recommended.
Francisco Antonio Escobar Aguilón
5.0
Reviewed Aug 7, 2020Highly recommended course. It may seem a bit short, but the videos explain the concepts in a clear, brief but very complete way. Definitely a course in epidemiology in public health.
Tommy Gonzalez
5.0
Reviewed Jul 6, 2020Excellent course! If you expect to learn about epidemiological studies, their differences, grade of evidence and develop general knowledge on the subject I recommend this course.
M.C. DeGroff Davis
5.0
Reviewed Aug 20, 2020Another 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.
D H
5.0
Reviewed Apr 30, 2020The course was quite hard for me and challenging, but very useful. It covers all necessary topics, the presentation was understandeble with many examples.
Deleted Account
5.0
Reviewed Jan 2, 2022Good course for a basic understanding of epidemiological concepts that are generally hard to grasp.. Highly recommended for healthcare professionals.
Gladys Octavia
5.0
Reviewed Aug 23, 2023amazing course that makes me love & enjoy epidemiology. Thankyou to all instructors!
Diana Castel
5.0
Reviewed Aug 16, 2020Great way of teaching, I learned a lot through the examples presented. Thanks