课程信息

第 3 门课程(共 3 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

A background in health sciences or/and quantitative methods would be useful, but not essential.

完成时间大约为8 小时

建议:4 weeks of study, 2-4 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Identify different types of biases that may occur in epidemiological studies, in order to apply strategies to reduce such biases.

您将获得的技能

ValidityInteraction (Statistics)Information biasConfoundingSelection Bias

第 3 门课程(共 3 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

A background in health sciences or/and quantitative methods would be useful, but not essential.

完成时间大约为8 小时

建议:4 weeks of study, 2-4 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 2 小时

Module 1: Introduction to Validity and Bias

Every time you conduct a study, the most important questions to ask are whether your results are an accurate reflection of the truth both within your sample and in the broader population of interest. This is called validity of the study and more or less determines if your study is of any value. In this module we will discuss what validity actually means and we will describe the different types of systematic error, or bias that may undermine the validity of a study. You will learn how to identify and prevent selection bias and information bias and their variations....
4 个视频 (总计 16 分钟), 6 个阅读材料, 1 个测验
4 个视频
Validity4分钟
Selection Bias4分钟
Information Bias4分钟
6 个阅读材料
About Imperial College & the team5分钟
How to be successful in this course10分钟
Grading policy10分钟
Glossary & Additional readings10分钟
Examples of Selection and Information Bias30分钟
Quiz Instructions2分钟
1 个练习
Validity and Types of Bias25分钟
2
完成时间为 3 小时

MODULE 2: Confounding

Studies often focus on the association between two variables; for instance, between a risk factor and a disease. However, reality is usually complex and there are many other variables that may influence this association. Sometimes, the presence of a third variable can either exaggerate the association between the two variables we study or mask an underlying true association. This is called confounding and is any researcher’s nightmare. In this module, you will learn multiple methods to detect confounding in a study, so that you can prepare to deal with it. By the end of the module, you will be able to apply these methods to actual data and conclude whether there is confounding....
3 个视频 (总计 13 分钟), 1 个阅读材料, 1 个测验
3 个视频
Criteria for Confounding5分钟
Criteria for Confounding: An Example4分钟
1 个阅读材料
Recap: How to Identify Confounding10分钟
3
完成时间为 1 小时

MODULE 3: Dealing with Confounding

This module is dedicated to dealing with confounding. Confounding can be addressed either at the design stage, before data is collected, or at the analysis stage. You will learn the main approaches to dealing with confounding and you will see practical examples on how to do this in your own studies. We will also briefly discuss about the Directed Acyclic Graphs, which is a novel way to detect bias and confounding and control for them....
5 个视频 (总计 16 分钟), 2 个阅读材料, 1 个测验
5 个视频
Controlling for Confounding at the Design Stage: Example2分钟
Controlling for Confounding at the Analysis Stage3分钟
Controlling for Confounding at the Analysis Stage: Example2分钟
Directed Acyclic Graphs (DAGs)3分钟
2 个阅读材料
Recap: How to Control for Confounding5分钟
Quiz Instructions4分钟
1 个练习
Dealing with Confounding20分钟
4
完成时间为 2 小时

MODULE 4: Effect Modification

This is the final module of the course. We start by discussing what happens when the effect of an exposure on an outcome differs across levels of another variable. This is called effect modification. We will discuss how to approach effect modification and we will highlight the distinction between confounding and effect modification. We will close the course by revisiting causal inference in epidemiology, discussing how we can go through all potential explanations of an association before deciding whether it is of causal nature....
4 个视频 (总计 14 分钟), 3 个阅读材料, 2 个测验
4 个视频
Confounding vs Effect Modification3分钟
Causation3分钟
Course Summary1分钟
3 个阅读材料
Confounding or Effect Modification?10分钟
Quiz Instructions2分钟
Quiz Instructions2分钟
2 个练习
Confounding and Effect Modification30分钟
Bias, Confounding and Effect Modification45分钟

讲师

Avatar

Filippos Filippidis

Lecturer in Public Health
School of Public Health

关于 伦敦帝国学院

Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges. Imperial students benefit from a world-leading, inclusive educational experience, rooted in the College’s world-leading research. Our online courses are designed to promote interactivity, learning and the development of core skills, through the use of cutting-edge digital technology....

关于 Epidemiology for Public Health 专项课程

Thousands of new epidemiological studies are conducted every year and their results can have a profound impact on how we live our lives. Decisions regarding the food you eat, how much you exercise, where you live and what treatment you will follow if you get sick are made based on data from such studies. This specialization aims to equip you with the skills that will allow you to correctly interpret epidemiological research, consider its limitations, and design your own studies. The first course of the specialisation, Measuring Disease in Epidemiology, looks into the main measures used in epidemiology and how these can inform decisions around public health policy, screening and prevention. The second course, Study Designs in Epidemiology, provides an overview of the most common study designs, their strengths and limitations. The third course, Validity and Bias in Epidemiology, builds on the fundamental concepts taught in the previous courses to discuss bias and confounding and how they might affect study results. It also provides the essential skills to prevent and control bias and confounding and critically think about causality. At the end of this specialization you will have gained the essential skills to design and critique epidemiological research and you will be able to pursue more advanced courses in epidemiology. Although this specialization is part of the GMPH programme, it can be taken independently of the GMPH....
Epidemiology for Public Health

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