課程信息
4.5
33 個評分
6 個審閱

100% 在線

立即開始,按照自己的計劃學習。

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初級

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

完成時間大約為9 小時

建議:2-5 hours/week...

英語(English)

字幕:英語(English)

您將學到的內容有

  • 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

您將獲得的技能

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

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

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

完成時間大約為9 小時

建議:2-5 hours/week...

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 3 小時

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 個視頻 (總計 23 分鐘), 7 個閱讀材料, 2 個測驗
5 個視頻
Uses of Statistics in Public Health5分鐘
Introduction to Sampling3分鐘
How to Formulate a Research Question3分鐘
Formulating a research question for the Parkinson's disease and supplement studies4分鐘
7 個閱讀材料
About Imperial College & the Team10分鐘
How to be successful in this course10分鐘
Grading policy10分鐘
Data set and Glossary10分鐘
Additional Reading10分鐘
John Snow and the Cholera outbreak of 184920分鐘
Instructions for Quiz10分鐘
2 個練習
Parkinson's Disease Study Issues15分鐘
Research Question Formulation20分鐘
2
完成時間為 4 小時

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 個視頻 (總計 34 分鐘), 3 個閱讀材料, 5 個測驗
6 個視頻
Overview of types of variables4分鐘
Well-behaved Distributions7分鐘
Real-world Distributions and their Problems5分鐘
The Role of Sampling in Public Health Research8分鐘
How to choose a Sample4分鐘
3 個閱讀材料
Types of variables and the special case of age10分鐘
More on the 95% Confidence Interval10分鐘
Using your sample to estimate the population mean20分鐘
5 個練習
Types of variables20分鐘
Special case of age20分鐘
Well-behaved Distributions20分鐘
Ways of Dealing with Weird Data15分鐘
Sampling10分鐘
3
完成時間為 3 小時

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 個視頻 (總計 20 分鐘), 10 個閱讀材料, 2 個測驗
2 個視頻
How to Load Data and run Basic Tabulations in R13分鐘
10 個閱讀材料
How to Calculate Percentiles10分鐘
Introduction to R20分鐘
R Resources10分鐘
Practice with R: Perform Descriptive Analysis10分鐘
Feedback: Descriptive Analysis10分鐘
How to judge visually if a variable is normally distributed in R10分鐘
Practice with R - trying it out for yourself10分鐘
Extra features in R10分鐘
Practice with R: Extra features10分鐘
Feedback: Extra features10分鐘
2 個練習
Distributions and Medians20分鐘
Calculations: Percentiles by Hand20分鐘
4
完成時間為 5 小時

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 個視頻 (總計 20 分鐘), 14 個閱讀材料, 5 個測驗
4 個視頻
Hypothesis Testing6分鐘
Choosing the Sample Size for your Study4分鐘
Summary of Course2分鐘
14 個閱讀材料
The Coin Tossing Experiment: Part I10分鐘
The Coin Tossing Experiment: Part II10分鐘
The Coin Tossing Experiment: Feedback20分鐘
Degrees of Freedom 20分鐘
The chi-squared test with fruit and veg20分鐘
Feedback: Sample Size and Variation10分鐘
Comparing Two Means10分鐘
Practice with R: Hypothesis Testing10分鐘
Feedback: Hypothesis Testing in R10分鐘
The Difference between t-test and Chi-squared test10分鐘
Practice with R: Running a New Hypothesis Test10分鐘
P values and Thresholds10分鐘
Deaths data set for the end-of-course Assessment10分鐘
Final R code10分鐘
5 個練習
Hypothesis Testing10分鐘
The Coin Tossing Experiment: Evaluation30分鐘
Results: Running a New Hypothesis Test20分鐘
Hypothesis Testing15分鐘
End-of-course Assessment20分鐘
4.5
6 個審閱Chevron Right

熱門審閱

創建者 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.

創建者 UAApr 7th 2019

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

講師

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health

立即開始攻讀碩士學位

This 課程 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.

關於 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....

關於 Statistical Analysis with R for Public Health 專項課程

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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