Validity and Bias in Epidemiology
- Offered byCoursera
Validity and Bias in Epidemiology at Coursera Overview
Duration | 8 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Validity and Bias in Epidemiology at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 3 in the Epidemiology for Public Health Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level A background in health sciences or/and quantitative methods would be useful, but not essential.
- Approx. 8 hours to complete
- English Subtitles: French, Portuguese (European), Russian, English, Spanish
Validity and Bias in Epidemiology at Coursera Course details
- 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.
Validity and Bias in Epidemiology at Coursera Curriculum
Module 1: Introduction to Validity and Bias
Introduction to Course
Validity
Selection Bias
Information Bias
About Imperial College & the team
How to be successful in this course
Grading policy
Glossary & Additional readings
Examples of Selection and Information Bias
Quiz Instructions
Validity and Types of Bias
MODULE 2: Confounding
Introduction to Confounding
Criteria for Confounding
Criteria for Confounding: An Example
Recap: How to Identify Confounding
MODULE 3: Dealing with Confounding
Controlling for Confounding at the Design Stage
Controlling for Confounding at the Design Stage: Example
Controlling for Confounding at the Analysis Stage
Controlling for Confounding at the Analysis Stage: Example
Directed Acyclic Graphs (DAGs)
Recap: How to Control for Confounding
Quiz Instructions
Dealing with Confounding
MODULE 4: Effect Modification
Effect Modification
Confounding vs Effect Modification
Causation
Course Summary
Confounding or Effect Modification?
Quiz Instructions
Quiz Instructions
Confounding and Effect Modification
Bias, Confounding and Effect Modification
Validity and Bias in Epidemiology at Coursera Admission Process
Important Dates
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