Course Summary
This course provides an introduction to the design and implementation of population health studies. Students will learn about study design and methods, data collection, and analysis.Key Learning Points
- Learn how to design and implement population health studies
- Explore different study designs and methods
- Understand data collection and analysis techniques
Job Positions & Salaries of people who have taken this course might have
- USA: $70,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €30,000 - €60,000
- USA: $70,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €30,000 - €60,000
- USA: $50,000 - $80,000
- India: ₹3,00,000 - ₹8,00,000
- Spain: €25,000 - €45,000
- USA: $70,000 - $110,000
- India: ₹4,00,000 - ₹12,00,000
- Spain: €30,000 - €60,000
- USA: $50,000 - $80,000
- India: ₹3,00,000 - ₹8,00,000
- Spain: €25,000 - €45,000
- USA: $40,000 - $65,000
- India: ₹2,00,000 - ₹6,00,000
- Spain: €20,000 - €35,000
Related Topics for further study
Learning Outcomes
- Understand the basics of population health and how to design and implement studies
- Develop skills in data collection and analysis techniques
- Gain knowledge of public health and its impact on population health
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with research methods
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Video lectures
Similar Courses
- Epidemiology: The Basic Science of Public Health
- Introduction to Public Health
- Global Health: An Interdisciplinary Overview
Related Education Paths
Notable People in This Field
- Sandro Galea
- David B. Peden
- Lisa M. Bodnar
Related Books
Description
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.
Knowledge
- You will be able to formulate a good research question
- You will be able to interpret and apply different frequency and effect measures
- You will be able to recognize errors and deal with bias and confounding
- You will be able to describe basic principles of causal inference
Outline
- 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?
- Design
- 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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