课程信息
4.5
35 个评分
6 个审阅

100% 在线

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初级

You will only need an interest in analysing quantitative data and familiarity with reading standard graphs and tables of data.

完成时间大约为9 小时

建议:2-5 hours/week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Defend the critical role of statistics in modern public health research and practice

  • Check

    Describe a data set from scratch, including data item features and data quality issues, using descriptive statistics and graphical methods in R

  • Check

    Select and apply appropriate methods to formulate and examine statistical associations between variables within a data set in R

  • Check

    Interpret the output from your analysis and appraise the role of chance and bias

您将获得的技能

Run basic analyses in RR ProgrammingUnderstand common data distributions and types of variablesFormulate a scientific hypothesis

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

初级

You will only need an interest in analysing quantitative data and familiarity with reading standard graphs and tables of data.

完成时间大约为9 小时

建议:2-5 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 3 小时

Introduction to Statistics in Public Health

Statistics has played a critical role of statistics in public health research and practice, and you’ll start by looking at two examples: one from eighteenth century London and the other by the United Nations. The first task in carrying out a research study is to define the research question and express it as a testable hypothesis. With examples from the media, you’ll see what does and does not work in this regard, giving you a chance to define a research question from some real news stories....
5 个视频 (总计 23 分钟), 7 个阅读材料, 2 个测验
5 个视频
Uses of Statistics in Public Health5分钟
Introduction to Sampling3分钟
How to Formulate a Research Question3分钟
Formulating a research question for the Parkinson's disease and supplement studies4分钟
7 个阅读材料
About Imperial College & the Team10分钟
How to be successful in this course10分钟
Grading policy10分钟
Data set and Glossary10分钟
Additional Reading10分钟
John Snow and the Cholera outbreak of 184920分钟
Instructions for Quiz10分钟
2 个练习
Parkinson's Disease Study Issues15分钟
Research Question Formulation20分钟
2
完成时间为 4 小时

Types of Variables, Common Distributions and Sampling

This module will introduce you to some of the key building blocks of knowledge in statistical analysis: types of variables, common distributions and sampling. You’ll see the difference between “well-behaved” data distributions, such as the normal and the Poisson, and real-world ones that are common in public health data sets....
6 个视频 (总计 34 分钟), 3 个阅读材料, 5 个测验
6 个视频
Overview of types of variables4分钟
Well-behaved Distributions7分钟
Real-world Distributions and their Problems5分钟
The Role of Sampling in Public Health Research8分钟
How to choose a Sample4分钟
3 个阅读材料
Types of variables and the special case of age10分钟
More on the 95% Confidence Interval10分钟
Using your sample to estimate the population mean20分钟
5 个练习
Types of variables20分钟
Special case of age20分钟
Well-behaved Distributions20分钟
Ways of Dealing with Weird Data15分钟
Sampling10分钟
3
完成时间为 3 小时

Introduction to R and RStudio

Now it’s time to get started with the powerful and completely free statistical software R and its popular interface RStudio. With the example of fruit and vegetable consumption, you’ll learn how to download R, import the data set and run essential descriptive analyses to get to know the variables....
2 个视频 (总计 20 分钟), 10 个阅读材料, 2 个测验
2 个视频
How to Load Data and run Basic Tabulations in R13分钟
10 个阅读材料
How to Calculate Percentiles10分钟
Introduction to R20分钟
R Resources10分钟
Practice with R: Perform Descriptive Analysis10分钟
Feedback: Descriptive Analysis10分钟
How to judge visually if a variable is normally distributed in R10分钟
Practice with R - trying it out for yourself10分钟
Extra features in R10分钟
Practice with R: Extra features10分钟
Feedback: Extra features10分钟
2 个练习
Distributions and Medians20分钟
Calculations: Percentiles by Hand20分钟
4
完成时间为 5 小时

Hypothesis Testing in R

Having learned how to define a research question and testable hypothesis earlier in the course, you’ll learn how to apply hypothesis testing in R and interpret the result. As all medical knowledge is derived from a sample of patients, random and other kinds of variation mean that what you measure on that sample, such as the average body mass index, is not necessarily the same as in the population as a whole. It’s essential that you incorporate this uncertainty in your estimate of average BMI when presenting it. This involves the calculation of a p value and confidence interval, fundamental concepts in statistical analysis. You’ll see how to do this for averages and proportions....
4 个视频 (总计 20 分钟), 14 个阅读材料, 5 个测验
4 个视频
Hypothesis Testing6分钟
Choosing the Sample Size for your Study4分钟
Summary of Course2分钟
14 个阅读材料
The Coin Tossing Experiment: Part I10分钟
The Coin Tossing Experiment: Part II10分钟
The Coin Tossing Experiment: Feedback20分钟
Degrees of Freedom 20分钟
The chi-squared test with fruit and veg20分钟
Feedback: Sample Size and Variation10分钟
Comparing Two Means10分钟
Practice with R: Hypothesis Testing10分钟
Feedback: Hypothesis Testing in R10分钟
The Difference between t-test and Chi-squared test10分钟
Practice with R: Running a New Hypothesis Test10分钟
P values and Thresholds10分钟
Deaths data set for the end-of-course Assessment10分钟
Final R code10分钟
5 个练习
Hypothesis Testing10分钟
The Coin Tossing Experiment: Evaluation30分钟
Results: Running a New Hypothesis Test20分钟
Hypothesis Testing15分钟
End-of-course Assessment20分钟
4.5
6 个审阅Chevron Right

热门审阅

创建者 MNApr 8th 2019

Wonderful explanation and introduction to R programing. With minimal additional self learning you can easily master all of the content of the course.

创建者 UAApr 7th 2019

Superb course. I will recommend to all Public Health Practitioners.

讲师

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health

立即开始攻读硕士学位

This 课程 is part of the 100% online Global Master of Public Health from 伦敦帝国学院. If you are admitted to the full program, your courses count towards your degree learning.

关于 伦敦帝国学院

Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges. Imperial students benefit from a world-leading, inclusive educational experience, rooted in the College’s world-leading research. Our online courses are designed to promote interactivity, learning and the development of core skills, through the use of cutting-edge digital technology....

关于 Statistical Analysis with R for Public Health 专项课程

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....
Statistical Analysis with R for Public Health

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