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Measuring Disease in Epidemiology
by Filippos Filippidis- 4.7
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Approx. 10 hours to complete
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. Measures of disease frequency...
Linear Regression in R for Public Health
by Alex Bottle , Victoria Cornelius- 4.8
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Approx. 15 hours to complete
Welcome to Linear Regression in R for Public Health! Public Health has been defined as “the art and science of preventing disease, prolonging life and promoting health through the organized efforts of society”. Knowing what causes disease and what makes it worse are clearly vital parts of this. INTRODUCTION TO LINEAR REGRESSION...
Measuring and Maximizing Impact of COVID-19 Contact Tracing
by Emily Gurley, PhD, MPH , Elizabeth C. Lee, PhD , Lucy D’Agostino McGowan , Kyra Grantz , Justin Lessler, PhD, MS- 4.5
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Approx. 3 hours to complete
This course aims to provide managers and developers of contact tracing programs guidance on the most important indicators of performance of a contact tracing program, and a tool that can be used to project the likely impact of improvements in specific indicators. Measuring indicators of impact in contact tracing Welcome to Measuring and Maximizing Impact of COVID-19 Contact Tracing...
Simple Regression Analysis in Public Health
by John McGready, PhD, MS- 4.7
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Approx. 14 hours to complete
Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies....
Logistic Regression in R for Public Health
by Alex Bottle- 4.8
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Approx. 12 hours to complete
Welcome to Logistic Regression in R for Public Health! Why logistic regression for public health rather than just logistic regression? Well, there are some particular considerations for every data set, and public health data sets have particular features that need special attention. In a word, they're messy. By the end of this course, you will be able to:...
Survival Analysis in R for Public Health
by Alex Bottle- 4.5
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Approx. 11 hours to complete
Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered statistical thinking, correlation, linear regression and logistic regression. This one will show you how to run survival – or “time to event” – analysis, explaining what’s meant by familiar-sounding but deceptive terms like hazard and censoring, which have specific meanings in this context....
Study Designs in Epidemiology
by Filippos Filippidis- 4.8
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Approx. 8 hours to complete
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
by Filippos Filippidis- 4.9
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Approx. 8 hours to complete
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....
International Women's Health and Human Rights
by Anne Firth Murray- 4.9
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Approx. 58 hours to complete
This course focuses on women’s health and human rights issues from infancy through old age, including information about positive interventions relating to those issues. Learners are encouraged to interact with each other through interactive discussions. It is important to us that this course be available to all learners. Introduction Welcome to the Course...
Essentials of Global Health
by Richard Skolnik- 4.8
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Approx. 70 hours to complete
Essentials of Global Health is a comprehensive introduction to global health. It is meant to introduce you to this topic in well-structured, clear and easy to understand ways. Much of the course will focus on five questions: What do people get sick, disabled and die from; Why do they suffer from these conditions?...
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