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.
