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所在平台: Coursera专项课程 课程类别: 其他类别 大学或机构: CourseraNew |
课程主页: https://www.coursera.org/specializations/statistical-analysis-r-public-health
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课程名称：使用R进行公共卫生专业化的统计分析 课程概述：统计无处不在，涉及日常生活的许多方面，如天气预测、经济趋势以及体育赛事等。在医学领域，尤其是公共卫生中，统计分析同样扮演着重要角色。在本专业化课程中，您将深入了解医学研究的基本概念，包括如何将模糊的研究问题转化为可科学检验的假设。课程内容涵盖关键的统计概念，如抽样、不确定性、变异、缺失值和分布等。此外，您将使用R语言分析一些重大的公共卫生挑战的数据集，例如水果和蔬菜的消费与癌症的关系、糖尿病的风险因素，以及心力衰竭住院后的死亡预测等。 本专业化课程包含四个部分：统计思维、线性回归、逻辑回归和生存分析，旨在为即将于2019年9月启动的全球公共卫生硕士学位课程提供支持。课程可以独立于硕士学位进行学习，不需要先前的统计或R软件知识，只需对医疗及定量数据感兴趣即可参与。 课程链接： 1. [公共卫生中的统计与数据分析入门](https://www.coursera.org/learn/introduction-statistics-data-analysis-public-health) 2. [公共卫生中的R语言线性回归](https://www.coursera.org/learn/linear-regression-r-public-health) 3. [公共卫生中的R语言逻辑回归](https://www.coursera.org/learn/logistic-regression-r-public-health) 4. [公共卫生中的R语言生存分析](https://www.coursera.org/learn/survival-analysis-r-public-health) 该课程由伦敦帝国学院提供，欢迎对公共卫生领域感兴趣的学员免费注册参与。
Course Link: https://www.coursera.org/learn/introduction-statistics-data-analysis-public-health
Name:Introduction to Statistics & Data Analysis in Public Health
Description:Offered by Imperial College London. Welcome to Introduction to Statistics & Data Analysis in Public Health! This course will teach you the ... Enroll for free.
Course Link: https://www.coursera.org/learn/linear-regression-r-public-health
Name:Linear Regression in R for Public Health
Description:Offered by Imperial College London. Welcome to Linear Regression in R for Public Health! Public Health has been defined as “the art and ... Enroll for free.
Course Link: https://www.coursera.org/learn/logistic-regression-r-public-health
Name:Logistic Regression in R for Public Health
Description:Offered by Imperial College London. Welcome to Logistic Regression in R for Public Health! Why logistic regression for public health ... Enroll for free.
Course Link: https://www.coursera.org/learn/survival-analysis-r-public-health
Name:Survival Analysis in R for Public Health
Description:Offered by Imperial College London. Welcome to Survival Analysis in R for Public Health! The three earlier courses in this series covered ... Enroll for free.
Statistics are everywhere. The probability it will rain today. Trends over time in unemployment rates. The odds that India will win the next cricket world cup. In sports like football, they started out as a bit of fun but have grown into big business. Statistical analysis also has a key role in medicine, not least in the broad and core discipline of public health. In this specialisation, you’ll take a peek at what medical research is and how – and indeed why – you turn a vague notion into a scientifically testable hypothesis. You’ll learn about key statistical concepts like sampling, uncertainty, variation, missing values and distributions. Then you’ll get your hands dirty with analysing data sets covering some big public health challenges – fruit and vegetable consumption and cancer, risk factors for diabetes, and predictors of death following heart failure hospitalisation – using R, one of the most widely used and versatile free software packages around. This specialisation consists of four courses – statistical thinking, linear regression, logistic regression and survival analysis – and is part of our upcoming Global Master in Public Health degree, which is due to start in September 2019. The specialisation can be taken independently of the GMPH and will assume no knowledge of statistics or R software. You just need an interest in medical matters and quantitative data.
使用R进行公共卫生专业化的统计分析：统计无处不在。今天下雨的可能性。失业率随时间的趋势。印度赢得下一届板球世界杯的几率。在足球之类的运动中，它们起初只是有些乐趣，但后来逐渐发展为大型企业。统计分析在医学中也起着关键作用，尤其是在公共卫生的广泛和核心学科中。 在本专业中，您将窥见什么是医学研究，以及如何-以及为什么-将模糊的概念转变为可科学检验的假设。您将了解关键的统计概念，例如抽样，不确定性，变异，缺失值和分布。然后，使用R（使用最广泛的方法之一，各种通用的免费软件包。 该专业包括四门课程-统计思维，线性回归，逻辑回归和生存分析-并且是我们即将于2019年9月开始的全球公共卫生硕士学位的一部分。 可以独立于GMPH进行专业化，并且不承担任何统计学或R软件的知识。您只需要对医疗事项和定量数据感兴趣。