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Filippos Filippidis

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.

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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.

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Three courses

Measuring Disease in Epidemiology

(0 hours)
Epidemiological research is ubiquitous, impacting our daily lives. This course introduces the fundamental tools of epidemiology, starting with measures used to describe disease frequency. You will learn to quantify associations and distinguish between association and causation. The course also covers prevention strategies, diagnostic test evaluation, and screening program considerations.

Study Designs in Epidemiology

(0 hours)
Choosing an appropriate study design is critical to successfully answering your research question. This course covers the main epidemiological study designs, including cross-sectional, ecological, case-control, cohort, nested case-control, and case-cohort designs, as well as randomized controlled trials. You will learn to identify the strengths and limitations of each design and choose the most suitable one considering the research question, available time, and resources.

Validity and Bias in Epidemiology

(0 hours)
Epidemiological studies provide insights into disease frequency, causes, and treatments. This course introduces bias in epidemiological research and methods to deal with it. You will learn about bias types, confounding, effect modification, and causality in epidemiology.

Learning objectives

  • 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.

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