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.
A background in health sciences or/and quantitative methods would be useful, but not essential.
- 5 stars91.98%
- 4 stars7.54%
- 3 stars0.47%
來自VALIDITY AND BIAS IN EPIDEMIOLOGY的熱門評論
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.
Prof. Filippidis, your lectures are a thing to fall in love with. Thank you professor for such amazing lectures.
Good course for a basic understanding of epidemiological concepts that are generally hard to grasp.. Highly recommended for healthcare professionals.
Great course, very informative. Great facilitators!