关于此 专项课程
12,100 次近期查看

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

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初级

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

完成时间大约为1 个月

建议 11 小时/周

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Calculate and interpret appropriate measures in order to describe disease frequency, association and attributable risk for given scenarios.

  • Check

    Calculate sensitivity, specificity, positive and negative predictive values, in order to interpret these values in the context of screening.

  • Check

    Compare and contrast different epidemiological study designs in order to describe their strengths and weaknesses.

  • 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

associationScreeningCausal InferenceClinical Study DesignBias

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

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

完成时间大约为1 个月

建议 11 小时/周

英语(English)

字幕:英语(English)

专项课程 的运作方式

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在结束每门课程并完成实践项目之后,您会获得一个证书,您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

how it works

此专项课程包含 3 门课程

课程1

Measuring Disease in Epidemiology

4.5
30 个评分
9 个审阅

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.

...
课程2

Study Designs in Epidemiology

4.8
28 个评分
6 个审阅

Choosing an appropriate study design is a critical decision that can largely determine whether your study will successfully answer your research question. A quick look at the contents page of a biomedical journal or even at the health news section of a news website is enough to tell you that there are many different ways to conduct epidemiological research. In this course, you will learn about the main epidemiological study designs, including cross-sectional and ecological studies, case-control and cohort studies, as well as the more complex nested case-control and case-cohort designs. The final module is dedicated to randomised controlled trials, which is often considered the optimal study design, especially in clinical research. You will also develop the skills to identify strengths and limitations of the various study designs. By the end of this course, you will be able to choose the most suitable study design considering the research question, the available time, and resources.

...
课程3

Validity and Bias in Epidemiology

4.7
17 个评分
3 个审阅

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.

...

讲师

Avatar

Filippos Filippidis

Lecturer in Public Health
School of Public Health

立即开始攻读硕士学位

此 专项课程 隶属于 伦敦帝国学院 提供的 100% 在线 Global Master of Public Health。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

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....

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  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • 此专项课程不提供大学学分,但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。

  • 3/4 hours a week for 3 to 4 months

  • No prior epidemiological knowledge is required, but you will be expected to perform simple mathematical calculations.

  • We recommend taking the courses in the order in which they are displayed on the main page of the Specialization

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