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.
提供方
Population Health: Study Design
課程信息
您將學到的內容有
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
您將獲得的技能
100% 在線
可靈活調整截止日期
中級
完成時間大約為16 小時
英語（English）
教學大綱 - 您將從這門課程中學到什麼
Welcome to Study Design
Welcome to Population Health: Study Design! In this module you will get to know what the scope is of this course and you will learn how to be successful at online studying.
Design
In this module you will start to formulate a research question. You will be introduced to the most important study designs in epidemiology, and work out which study design fits your specific research question.
Measures
In this module you will calculate frequency and effect measures, and apply them to your own research questions. In addition, you will practice with constructing a life table and drawing a Kaplan-Meier curve.
Confounding and bias
In this module different types of error will be discussed, which can be either random or systematic in nature. Subsequently, you will learn to recognize bias and confounding. You will additionally gain hands-on experience with standardisation.
Inference
In this module you will calculate with averages, learn basic principles of causal inference, and be introduced to the concepts of regression to the mean and intention to treat.
提供方
莱顿大学
Leiden University is one of Europe's foremost research universities. This prominent position gives our graduates a leading edge and prepares them for careers both within and outside of academia. Leiden University is the oldest university in the Netherlands, founded in 1575. Our motto is: Praesidium Libertatis (Bastion of Liberty) - Freedom of spirit, thought and expression. Leiden University has a campus in Leiden and The Hague, with 7 faculties, 47 Bachelor Programmes, 79 Master Programmes and nearly 30,000 students.
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