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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/population-health-study-design
课程评论：没有评论
课程名称：人口健康：研究设计 课程概述：随着医疗卫生专业人员需要在老龄化和多样化的人口中做出临床决策，他们还面临着不断上升的医疗成本、支离破碎的医疗供应以及先进的医疗技术与信息系统。这些发展超越了日常实践，要求掌握新技能。在本课程中，我们将指导您设计研究的关键步骤，从制定研究问题到解释结果时可能遇到的常见陷阱。我们将主要聚焦于用于病因研究的分析性研究，这些研究旨在探讨假定风险因素（或决定因素）与特定疾病或其他结果之间的因果关系。我们讨论的原则对大多数研究问题仍然适用，您在预后和诊断研究中也会遇到这些研究设计。 该课程是莱顿大学人口健康管理硕士项目的一部分（目前正在开发中），该项目包含九门课程（包括本课程）。如果您有兴趣进一步了解人口健康管理的方法，可以在Coursera上学习“人口健康：人口健康管理基础”课程。 课程大纲： 1. **欢迎来到研究设计**：介绍课程的范围，以及如何在在线学习中取得成功。 2. **设计**：开始制定研究问题，介绍流行病学中的最重要研究设计，并确定适合您特定研究问题的研究设计。 3. **测量**：计算频率和效应测量，并将其应用于您自己的研究问题。此外，实践构建生命表和绘制Kaplan-Meier曲线。 4. **混杂和偏倚**：讨论不同类型的错误，可能是随机或系统性的。学习识别偏倚和混杂，并获得标准化的实际经验。 5. **推断**：计算平均值，学习因果推断的基本原则，并介绍均值回归和意向治疗的概念。
Name:Welcome to Study Design
Description: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.
Name:Design
Description: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.
Name:Measures
Description: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.
Name:Confounding and bias
Description: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.
Name:Inference
Description: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.
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.
