Population Health: Study Design
- Offered byCoursera
- Public/Government Institute
Population Health: Study Design at Coursera Overview
Duration | 29 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Population Health: Study Design at Coursera Highlights
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Population Health: Study Design at Coursera Course details
- Health care professionals increasingly have to make clinical decisions in aging and diverse populations. Also, they have to deal with rising health care costs, fragmented health care supply and advancing medical technologies and IT systems. These developments go beyond every day practice and will require new skills. In this course we will walk you through key steps in designing a research study, from formulating the research question to common pitfalls you might encounter when interpreting your results. We will focus primarily on analytical studies used in etiological research, which aims to investigate the causal relationship between putative risk factors (or determinants) and a given disease or other outcome. However, the principles we will discuss hold true for most research questions, and you will also encounter these study designs in prognostic and diagnostic research settings.
- This course is part of a Master's program Population Health Management at Leiden University (currently in development), which includes nine courses on Coursera (including this one). If you are interested in learning more about the Population Health Management approach follow the course "Population Health: Fundamentals of Population Health Management" on Coursera.
Population Health: Study Design at Coursera Curriculum
Welcome to Study Design
Population Health: Study Design
How to succeed in your online class?
Meet the instructors
Leiden University: Facts & Figures
About this course
Glossary
Community Guidelines
What is your learning path?
Introduction
What is epidemiology?
How to create a good research question?
What is the research question?
Experimental versus observational studies
The cohort study
The case-control study
Bloodcurdling movies and measures of coagulation - a crossover trial
To conclude
Observational research methods: cohort, cross sectional, and case-control studies
Designing a research project: randomised controlled trials and their principles.
Observational research methods: cohort, cross-sectional, and case-control studies
Designing a research project: randomised controlled trials and their principles.
Reflect on your goals
Test your knowledge
Measures
Introduction
Frequency measures
Effect measures
Odds and odds ratio
Kaplan-Meier
Thoughts on absolute versus relative risk
To conclude
R tutorial
Time partition
Calculate frequency and effect measures
Exposure window
Reflect on your goals
Test your knowledge
Confounding and bias
Introduction
Puzzles in Epidemiology
Random versus systematic error
Confounding and bias
Countering confounding
Standardisation
To conclude
Dealing with Biases
Dealing with Biases
Reflect on your goals
Test your knowledge
Inference
Introduction
When do we know something is true?
Intention to treat
Regression to the mean
To conclude
Course conclusion
Measurement scales and their summary statistics
Causation and causal inference in epidemiology
Causation and causal inference in epidemiology
Reflect on your goals
Test your knowledge
Final Assessment
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Student Forum
Anything you would want to ask experts?
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