このコースについて
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100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

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

約10時間で修了

推奨:2-5 hours/week...

英語

字幕:英語

学習内容

  • 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

習得するスキル

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

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

初級レベル

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

約10時間で修了

推奨:2-5 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
4時間で修了

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件のビデオ (合計23分), 7 readings, 2 quizzes
5件のビデオ
Uses of Statistics in Public Health5 分
Introduction to Sampling3 分
How to Formulate a Research Question3 分
Formulating a research question for the Parkinson's disease and supplement studies4 分
7件の学習用教材
About Imperial College & the Team10 分
How to be successful in this course10 分
Grading policy10 分
Data set and Glossary10 分
Additional Reading10 分
John Snow and the Cholera outbreak of 184920 分
Instructions for Quiz10 分
2の練習問題
Parkinson's Disease Study Issues15 分
Research Question Formulation1 時間
2
4時間で修了

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件のビデオ (合計34分), 3 readings, 5 quizzes
6件のビデオ
Overview of types of variables4 分
Well-behaved Distributions7 分
Real-world Distributions and their Problems5 分
The Role of Sampling in Public Health Research8 分
How to choose a Sample4 分
3件の学習用教材
Types of variables and the special case of age10 分
More on the 95% Confidence Interval10 分
Using your sample to estimate the population mean20 分
5の練習問題
Types of variables20 分
Special case of age20 分
Well-behaved Distributions20 分
Ways of Dealing with Weird Data15 分
Sampling10 分
3
3時間で修了

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件のビデオ (合計20分), 10 readings, 2 quizzes
2件のビデオ
How to Load Data and run Basic Tabulations in R13 分
10件の学習用教材
How to Calculate Percentiles10 分
Introduction to R20 分
R Resources10 分
Practice with R: Perform Descriptive Analysis10 分
Feedback: Descriptive Analysis10 分
How to judge visually if a variable is normally distributed in R10 分
Practice with R - trying it out for yourself10 分
Extra features in R10 分
Practice with R: Extra features10 分
Feedback: Extra features10 分
2の練習問題
Distributions and Medians20 分
Calculations: Percentiles by Hand20 分
4
5時間で修了

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件のビデオ (合計20分), 14 readings, 5 quizzes
4件のビデオ
Hypothesis Testing6 分
Choosing the Sample Size for your Study4 分
Summary of Course2 分
14件の学習用教材
The Coin Tossing Experiment: Part I10 分
The Coin Tossing Experiment: Part II10 分
The Coin Tossing Experiment: Feedback20 分
Degrees of Freedom 20 分
The chi-squared test with fruit and veg20 分
Feedback: Sample Size and Variation10 分
Comparing Two Means10 分
Practice with R: Hypothesis Testing10 分
Feedback: Hypothesis Testing in R10 分
The Difference between t-test and Chi-squared test10 分
Practice with R: Running a New Hypothesis Test10 分
P values and Thresholds10 分
Deaths data set for the end-of-course Assessment10 分
Final R code10 分
5の練習問題
Hypothesis Testing10 分
The Coin Tossing Experiment: Evaluation30 分
Results: Running a New Hypothesis Test20 分
Hypothesis Testing15 分
End-of-course Assessment20 分
4.7
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Introduction to Statistics & Data Analysis in Public Health からの人気レビュー

by LAMay 26th 2019

Was a very nicely done and clear course to build or re-build foundation for most common statistical concepts and an intro to using R via R-Studio for your work with them on the basics.

by 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.

講師

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health

修士号の取得を目指しましょう

この コース は インペリアル・カレッジ・ロンドン(Imperial College London) の100%オンラインの Global Master of Public Health の一部です。 プログラムのすべてで認定されれば、それらのコースが学位学習に加算されます。

インペリアル・カレッジ・ロンドン(Imperial College London)について

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....

Statistical Analysis with R for Public Healthの専門講座について

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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