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Вернуться к Validity and Bias in Epidemiology

Отзывы учащихся о курсе Validity and Bias in Epidemiology от партнера Имперский колледж Лондона

4.7
Оценки: 27
Рецензии: 6

О курсе

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....

Лучшие рецензии

BB

Mar 18, 2019

Excellent concise course on the fundamental aspects of epidemiology related to validity, bias, confounding and effect modification.

DA

Jul 03, 2019

This course my favourite out of the 3 within the Epidemiology Specialisation.

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1–6 из 6 отзывов о курсе Validity and Bias in Epidemiology

автор: Bruno A M P B

Mar 18, 2019

Excellent concise course on the fundamental aspects of epidemiology related to validity, bias, confounding and effect modification.

автор: Deleted A

Jul 03, 2019

This course my favourite out of the 3 within the Epidemiology Specialisation.

автор: Ranjeet S M

Aug 10, 2019

GOOD

автор: Fernando R U G

May 21, 2019

Excellent course, very complete.

автор: Deusdenir d S M

Sep 07, 2019

Excellent. 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.

автор: hala

Aug 29, 2019

Cobrehesive, Illustrated in an easy not complicated approach, I enjoyed it