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

Redefinir os prazos de acordo com sua programação.

Nível intermediário

You should know the basics of types of variables, distributions, hypothesis testing, p values and confidence intervals using R, though I'll recap.

Aprox. 10 horas para completar

Sugerido: 4 weeks of study 3-5 hours per week ...

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Describe when a linear regression model is appropriate to use

  • Check

    Read in and check a data set's variables using the software R prior to undertaking a model analysis

  • Check

    Fit a multiple linear regression model with interactions, check model assumptions and interpret the output

Habilidades que você terá

Correlation And DependenceLinear RegressionR Programming

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 intermediário

You should know the basics of types of variables, distributions, hypothesis testing, p values and confidence intervals using R, though I'll recap.

Aprox. 10 horas para completar

Sugerido: 4 weeks of study 3-5 hours per week ...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
5 horas para concluir

INTRODUCTION TO LINEAR REGRESSION

Before jumping ahead to run a regression model, you need to understand a related concept: correlation. This week you’ll learn what it means and how to generate Pearson’s and Spearman’s correlation coefficients in R to assess the strength of the association between a risk factor or predictor and the patient outcome. Then you’ll be introduced to linear regression and the concept of model assumptions, a key idea underpinning so much of statistical analysis.

...
7 vídeos ((Total 34 mín.)), 9 leituras, 5 testes
7 videos
Pearson’s Correlation Part I3min
Pearson’s Correlation Part II6min
Intro to Linear Regression: Part I4min
Intro to Linear Regression: Part II3min
Linear Regression and Model Assumptions: Part I6min
Linear Regression and Model Assumptions: Part II5min
9 leituras
About Imperial College London & the Team10min
How to be successful in this course10min
Grading policy10min
Data set and Glossary10min
Additional Reading10min
Reading: Linear Regression Models: Behind the Headlines5min
Linear Regression Models: Behind the Headlines: Written Summary20min
Warnings and precautions for Pearson's correlation20min
Introduction to Spearman correlation15min
5 exercícios práticos
Linear Regression Models: Behind the Headlines10min
Correlations30min
Spearman Correlation20min
Practice Quiz on Linear Regression20min
End of Week Quiz20min
Semana
2
4 horas para concluir

Linear Regression in R

You’ll be introduced to the COPD data set that you’ll use throughout the course and will run basic descriptive analyses. You’ll also practise running correlations in R. Next, you’ll see how to run a linear regression model, firstly with one and then with several predictors, and examine whether model assumptions hold.

...
3 vídeos ((Total 11 mín.)), 8 leituras, 2 testes
3 videos
Fitting the linear regression3min
Multiple Regression4min
8 leituras
Recap on installing R10min
Assessing distributions and calculating the correlation coefficient in R 10min
Feedback10min
How to fit a regression model in R10min
Feedback15min
Fitting the Multiple Regression in R30min
Feedback10min
Summarising correlation and linear regression30min
2 exercícios práticos
Linear Regression20min
End of Week Quiz20min
Semana
3
4 horas para concluir

Multiple Regression and Interaction

Now you’ll see how to extend the linear regression model to include binary and categorical variables as predictors and learn how to check the correlation between predictors. Then you’ll see how predictors can interact with each other and how to incorporate the necessary interaction terms into the model and interpret them. Different kinds of interactions exist and can be challenging to interpret, so we will take it slowly with worked examples and opportunities to practise.

...
4 vídeos ((Total 17 mín.)), 9 leituras, 2 testes
4 videos
Introduction to Key Dataset Features: Part II2min
Interactions between binary variables4min
Interactions between binary and continuous variables5min
9 leituras
How to assess key features of a dataset in R20min
How to check your data in R10min
Good Practice Steps20min
Practice with R: Run a Good Practice Analysis30min
Practice with R: Run Multiple Regression30min
Feedback10min
Practice with R: Running and interpreting a multiple regression30min
Feedback15min
Additional Reading10min
2 exercícios práticos
Fitting and interpreting model results20min
Interpretation of interactions20min
Semana
4
3 horas para concluir

MODEL BUILDING

The last part of the course looks at how to build a regression model when you have a choice of what predictors to include in it. It describes commonly used automated procedures for model building and shows you why they are so problematic. Lastly, you’ll have the chance to fit some models using a more defensible and robust approach.

...
5 vídeos ((Total 16 mín.)), 7 leituras, 2 testes
5 videos
Variable Selection3min
Developing a Model Building Strategy6min
Summary of developing a Model Building Strategy56s
Summary of Course1min
7 leituras
Feedback10min
Further details of limitations of stepwise10min
How many predictors can I include?10min
Practice with R: Developing your model
Practice with R: Fitting the final model10min
Feedback on developing the model10min
Final R Code20min
2 exercícios práticos
Problems with automated approaches20min
End of Course Quiz20min
4.7
4 avaliaçõesChevron Right

Melhores avaliações

por RHMay 22nd 2019

Amazing course, it has been great revision for me with OLS

Instrutores

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health
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Victoria Cornelius

Senior Lecturer in Medical Statistics and Clinical Trials

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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • 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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