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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/summary-statistics
课程评论:没有评论
课程总结:公共卫生中的摘要统计 本课程名为《公共卫生中的摘要统计》,旨在介绍生物统计学在生命科学中的应用,特别是其在公共卫生研究中的重要性。生物统计学是利用统计推理分析数据的关键,能够帮助研究人员解读科学文献中的证据。 课程内容包括统计测量方法在公共卫生研究中的应用,主要涵盖以下主题:摘要度量、视觉展示、连续数据、样本大小、正态分布、二元数据、时间元素及Kaplan-Meier曲线等。学员将通过实际数据进行计算和解读,以加深对课程内容的理解。 课程大纲包括: 1. **统计学在公共卫生研究中的角色**:学习统计如何在公共卫生研究中发挥作用,包括研究设计类型、数据类型和数据总结等。 2. **连续数据的度量**:涉及摘要统计、视觉展示、样本大小的作用以及连续数据的相关讲座。 3. **正态分布**:探讨正态分布的定义及其对样本数据的应用,包含练习测验以测试知识掌握情况。 4. **二元数据**:讲解二元数据的意义,并通过讲座及测验加深理解。 5. **处理时间元素**:学习时间在数据中的定义和研究方法,以及Kaplan-Meier曲线的概念,包括项目和测验。 6. **课程项目**:设计一个项目,让学员以生物统计顾问的身份帮助两个研究团队解读过去的研究结果,以协助规划各自的研究。 通过本课程,学员将掌握基础的生物统计学知识,并能够在实际公共卫生研究中应用所学技能。
Name:The Role of Statistics in Public Health Research
Description:Within this learning module, you will learn how statistics are used within public heath research. Topics covered include study design types, data types, and data summarization. You will complete a practice quiz before completing a graded quiz.
Name:Continuous Data Measures
Description:Module two involves several lectures, a practice quiz and a graded quiz. Topics include summary statistics, visual displays, role of sample size, and continuous data.
Name:The Normal Distribution
Description:The focus of this module is on normal distribution. Topics covered include defining the standard normal distribution, and application of principles of normal distribution to sample data. There is a practice quiz where you can test your knowledge before completing the graded quiz.
Name:Binary Data
Description:Module four covers binary data and its significance. In addition to lectures, you will complete a practice quiz and a graded quiz.
Name:Dealing with the Element of Time
Description:In module five, you will explore how time is defined and studied in relation to data and learn about the Kaplan-Meir curve. In addition to a practice quiz, you will complete a graded quiz and project.
Name:Course Project
Description:During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about asthma medication and the other about self-administration of injectable contraception. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies.
Biostatistics is the application of statistical reasoning to the life sciences, and it is the key to unlocking the data gathered by researchers and the evidence presented in the scientific literature. In this course, we'll focus on the use of statistical measurement methods within the world of public health research. Along the way, you'll be introduced to a variety of methods and measures, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meir curve.