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Measuring Disease in Epidemiology, Imperial College London

4.6
(13 calificaciones)

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Epidemiological research is ubiquitous. Even if you don’t realise it, you come across epidemiological studies and the impact of their findings every single day. You have probably heard that obesity is increasing in high income countries or that malaria is killing millions of people in low income countries. It is common knowledge that smoking causes cancer and that physical activity is protective against heart disease. These facts may seem obvious today, but it took decades of epidemiological research to produce the necessary evidence. In this course, you will learn the fundamental tools of epidemiology which are essential to conduct such studies, starting with the measures used to describe the frequency of a disease or health-related condition. You will also learn how to quantify the strength of an association and discuss the distinction between association and causation. In the second half of the course, you will use this knowledge to describe different strategies for prevention, identify strengths and weaknesses of diagnostic tests and consider when a screening programme is appropriate....

Principales revisiones

por RR

Mar 11, 2019

Thank you for the excellent course materials, quizzes, and discussions. They have been extremely useful in updating my knowledge. Please keep the good work going.

por FG

May 20, 2019

This was a very complete course, absolutely worth the time and effort.

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4 revisiones

por Fernando Raul Urrutia Gonzalez

May 20, 2019

This was a very complete course, absolutely worth the time and effort.

por Nicolas Charles Têtu

Mar 12, 2019

Worst course of the platform!

por Rajalakshmi R

Mar 11, 2019

Thank you for the excellent course materials, quizzes, and discussions. They have been extremely useful in updating my knowledge. Please keep the good work going.

por Bruno Adler Maccagnan Pinheiro Besen

Mar 06, 2019

Great introduction on measuring disease in Epidemiology. You can learn about absolute and relative measures of association, measures of frequency, diagnostic tests and much more, with many quizzes for you to practice and learn the concepts.