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Validity and Bias in Epidemiology(으)로 돌아가기

임페리얼 칼리지 런던의 Validity and Bias in Epidemiology 학습자 리뷰 및 피드백

4.8
36개의 평가
7개의 리뷰

강좌 소개

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....

최상위 리뷰

DA

Jul 03, 2019

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

HH

Aug 29, 2019

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

필터링 기준:

Validity and Bias in Epidemiology의 7개 리뷰 중 1~7

교육 기관: 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.

교육 기관: Deleted A

Jul 03, 2019

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

교육 기관: Ranjeet S M

Aug 10, 2019

GOOD

교육 기관: Fernando R U G

May 21, 2019

Excellent course, very complete.

교육 기관: hala

Aug 29, 2019

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

교육 기관: Dhasarathi. K

Sep 29, 2019

Thank you a lot for providing the greatest opportunity.

교육 기관: 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.