Informações sobre o curso
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Tente videoaulas, leituras do curso e tarefas individualizadas do Graduação em Imperial MPH

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Prazos flexíveis

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Nível iniciante

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

Aprox. 10 horas para completar

Sugerido: 2-5 hours/week...

Inglês

Legendas: Inglês

O que você vai aprender

  • 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

Habilidades que você terá

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

Comece a trabalhar para obter o seu diploma

Tente videoaulas, leituras do curso e tarefas individualizadas do Graduação em Imperial MPH

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível iniciante

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

Aprox. 10 horas para completar

Sugerido: 2-5 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
4 horas para concluir

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 vídeos ((Total 23 mín.)), 7 leituras, 2 testes
5 videos
Uses of Statistics in Public Health5min
Introduction to Sampling3min
How to Formulate a Research Question3min
Formulating a research question for the Parkinson's disease and supplement studies4min
7 leituras
About Imperial College & the Team10min
How to be successful in this course10min
Grading policy10min
Data set and Glossary10min
Additional Reading10min
John Snow and the Cholera outbreak of 184920min
Instructions for Quiz10min
2 exercícios práticos
Parkinson's Disease Study Issues15min
Research Question Formulation1h
Semana
2
4 horas para concluir

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 vídeos ((Total 34 mín.)), 3 leituras, 5 testes
6 videos
Overview of types of variables4min
Well-behaved Distributions7min
Real-world Distributions and their Problems5min
The Role of Sampling in Public Health Research8min
How to choose a Sample4min
3 leituras
Types of variables and the special case of age10min
[TDN: try add this reading as an in-video question as the topic is more relevant]More on the 95% Confidence Interval10min
Using your sample to estimate the population mean20min
5 exercícios práticos
Types of variables20min
Special case of age20min
Well-behaved Distributions20min
Ways of Dealing with Weird Data15min
Sampling10min
Semana
3
3 horas para concluir

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 vídeos ((Total 20 mín.)), 10 leituras, 2 testes
2 videos
How to Load Data and run Basic Tabulations in R13min
10 leituras
How to Calculate Percentiles10min
Introduction to R20min
R Resources10min
Practice with R: Perform Descriptive Analysis10min
Feedback: Descriptive Analysis10min
How to judge visually if a variable is normally distributed in R10min
Practice with R - trying it out for yourself10min
Extra features in R10min
Practice with R: Extra features10min
Feedback: Extra features10min
2 exercícios práticos
Distributions and Medians20min
Calculations: Percentiles by Hand20min
Semana
4
5 horas para concluir

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 vídeos ((Total 20 mín.)), 14 leituras, 5 testes
4 videos
Hypothesis Testing6min
Choosing the Sample Size for your Study4min
Summary of Course2min
14 leituras
The Coin Tossing Experiment: Part I10min
The Coin Tossing Experiment: Part II10min
The Coin Tossing Experiment: Feedback20min
Degrees of Freedom 20min
The chi-squared test with fruit and veg20min
Feedback: Sample Size and Variation10min
Comparing Two Means10min
Practice with R: Hypothesis Testing10min
Feedback: Hypothesis Testing in R10min
The Difference between t-test and Chi-squared test10min
Practice with R: Running a New Hypothesis Test10min
P values and Thresholds10min
Deaths data set for the end-of-course Assessment10min
Final R code10min
5 exercícios práticos
Hypothesis Testing10min
The Coin Tossing Experiment: Evaluation30min
Results: Running a New Hypothesis Test20min
Hypothesis Testing15min
End-of-course Assessment20min
4.7
13 avaliaçõesChevron Right

Principais avaliações do Introduction to Statistics & Data Analysis in Public Health

por 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.

por 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.

Instrutores

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health

Expanda a sua formação de vez

Este curso é parte de uma Global Master of Public Health 100% on-line pela Imperial College London. Comece um curso livre ou uma Especialização hoje mesmo para assistir aos cursos ministrados por professores do iMBA e fazer tarefas no seu horário. Assim que terminar cada disciplina, você receberá um certificado que pode ser incluído no LinkedIn ou no currículo. Se fizer a inscrição e for admitido no curso completo, as disciplinas que for fazendo serão contabilizadas na sua formação.

Sobre Imperial College London

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....

Sobre o Programa de cursos integrados Statistical Analysis with R for Public Health

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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  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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