associationScreeningCausal InferenceClinical Study DesignBiasincidenceEpidemiologyPrevalenceRandomized Controlled TrialCase-Control StudyStudy designsCohort
Epidemiology for Public Health専門講座インペリアル・カレッジ・ロンドン（Imperial College London）学習内容
Calculate and interpret appropriate measures in order to describe disease frequency, association and attributable risk for given scenarios.
Calculate sensitivity, specificity, positive and negative predictive values, in order to interpret these values in the context of screening.
Compare and contrast different epidemiological study designs in order to describe their strengths and weaknesses.
Identify different types of biases that may occur in epidemiological studies, in order to apply strategies to reduce such biases.
習得するスキル
この専門講座について
7,937 最近の表示
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.
応用学習プロジェクト
Through the assignments of this specialisation you will use the skills you have learned to calculate appropriate measures of frequency and association in a variety of study types. You will also practise identifying bias and confounding in epidemiological research and taking the necessary steps to control for them. By doing that, you will be able to decide which study findings should be trusted and correctly interpret their real life applications.
受講生の就業成果
12%
昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンラインコース
自分のスケジュールですぐに学習を始めてください。
フレキシブルなスケジュール
柔軟性のある期限の設定および維持
初級レベル
A background in health sciences or/and quantitative methods would be useful, but not essential.
Approximately 3 months to complete
Suggested pace of 2 hours/week
英語
字幕：英語, アラビア語, フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, イタリア語, ベトナム語, 韓国語, ドイツ語, ロシア語, トルコ語, スペイン語
受講生の就業成果
12%
昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンラインコース
自分のスケジュールですぐに学習を始めてください。
フレキシブルなスケジュール
柔軟性のある期限の設定および維持
初級レベル
A background in health sciences or/and quantitative methods would be useful, but not essential.
Approximately 3 months to complete
Suggested pace of 2 hours/week
英語
字幕：英語, アラビア語, フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, イタリア語, ベトナム語, 韓国語, ドイツ語, ロシア語, トルコ語, スペイン語
この専門講座には3コースあります。
Measuring Disease in Epidemiology
497件の評価
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.
Study Designs in Epidemiology
408件の評価
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.
Validity and Bias in Epidemiology
174件の評価
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.
提供：
インペリアル・カレッジ・ロンドン（Imperial College London）
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.
修士号の取得を目指しましょう
この 専門講座 は インペリアル・カレッジ・ロンドン（Imperial College London） の100%オンラインの Global Master of Public Health の一部です。
プログラムのすべてで認定されれば、それらのコースが学位学習に加算されます。
よくある質問
返金ポリシーについて教えてください。
1つのコースだけに登録することは可能ですか？
学資援助はありますか？
無料でコースを受講できますか？
このコースは100%オンラインで提供されますか？実際に出席する必要のあるクラスはありますか？
専門講座を修了することで大学の単位は付与されますか？
専門講座を修了することで大学の単位は付与されますか？
専門講座を修了するのにどのくらいの期間かかりますか？
Do I need to take the courses in a specific order?
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