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Modern Methods in Data Analysis (f2f)
The course will begin with an introduction to likelihood theory, using simple examples and a minimum of mathematics. You will then move to learning about the most important regression models used in medical research.
Classical Methods in Data Analysis (f2f)
Topics are: types of data, location and variability measures, samples and populations, distributions, confidence intervals, hypothesis testing, comparing two or more means or proportions, and relationships between two variables.
Study Design in Etiologic Research (face to face)
This course is a core component in epidemiology. It is focused on observational studies for etiologic research. Its aim is for you to learn about the principles and practice of cohort, case-control and cross-sectional studies.
Introduction to Statistics (online)
Introduction to Statistics will provide you with a basic understanding of statistics. Geared towards people in the health domain, it will enable you to interpret research data, and to explain and use different types of variables.
Introduction to Statistics (f2f)
This course provides basic knowledge of statistics. The course is aimed to level differences in prior knowledge among students and provide the necessary base for the next two statistical courses.
Survival Analysis (online)
Survival data, or time-to-event data (the “event” can be death, disease or another outcome), is frequently encountered in epidemiologic studies. Censoring is a problem characteristic of most survival data and requires special data analytic techniques
Presenting Your Research Confidently
You will learn how to improve preparation and presentation skills. You will discover how to design visuals, structure your presentation, get and keep the audience’s attention, make good use of your voice and body language, handle audience’s questions
Public Health Epidemiology (online)
Public health epidemiology involves describing and interpreting geographical and temporal patterns, identifying prevention strategies, estimating and evaluating the impact of risk factors and preventive measures on population health.
Applied Economic Modelling for the Veterinary Sciences (online)
Economic modelling underpins decision-making in the field of animal health economics. The aim of this course is to enable you to become familiar with using the relevant tools so that you can become more actively involved in economic decision-making.
Clinical Epidemiology (online)
This course focuses on the principles and practice of clinical epidemiology, and elaborates on examples from relevant literature.
