Informações sobre o curso
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

We advise that you first take the previous courses in the series, particularly Introduction to Statistics, though this is not essential.

Horas para completar

Aprox. 9 horas para completar

Sugerido: 3-5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Run Kaplan-Meier plots and Cox regression in R and interpret the output

  • Check

    Describe a data set from scratch, using descriptive statistics and simple graphical methods as a necessary first step for more advanced analysis

  • Check

    Describe and compare some common ways to choose a multiple regression model

Habilidades que você terá

Understand common ways to choose what predictors go into a regression modelRun and interpret Kaplan-Meier curves in RConstruct a Cox regression model in R
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Nível intermediário

Nível intermediário

We advise that you first take the previous courses in the series, particularly Introduction to Statistics, though this is not essential.

Horas para completar

Aprox. 9 horas para completar

Sugerido: 3-5 hours/week...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
4 horas para concluir

The Kaplan-Meier Plot

What is survival analysis? You’ll see what it is, when to use it and how to run and interpret the most common descriptive survival analysis method, the Kaplan-Meier plot and its associated log-rank test for comparing the survival of two or more patient groups, e.g. those on different treatments. You’ll learn about the key concept of censoring....
Reading
4 vídeos (total de (Total 16 mín.) min), 11 leituras, 3 testes
Video4 videos
What is Survival Analysis?4min
The KM plot and Log-rank test4min
What is Heart Failure and How to run a KM plot in R4min
Reading11 leituras
About Imperial College & the team10min
How to be successful in this course10min
Grading policy10min
Data set and glossary10min
Additional Readings10min
Life tables20min
Feedback: Life Tables10min
The Course Data Set20min
Feedback: Running a KM plot and log-rank test3min
Practice in R: Run another KM Plot and log-rank test10min
Feedback: Running another KM plot and log-rank test10min
Quiz3 exercícios práticos
Survival Analysis Variables30min
Life tables30min
Practice in R: Running a KM plot and log-rank test20min
Semana
2
Horas para completar
2 horas para concluir

The Cox Model

This week you’ll get to know the most commonly used survival analysis method for incorporating not just one but multiple predictors of survival: Cox proportional hazards regression modelling. You’ll learn about the key concepts of hazards and the risk set. From now and until the end of this course, there’ll be plenty of chance to run Cox models on data simulated from real patient-level records for people admitted to hospital with heart failure. You’ll see why missing data and categorical variables can cause problems in regression models such as Cox....
Reading
3 vídeos (total de (Total 18 mín.) min), 4 leituras, 2 testes
Video3 videos
How to run Simple Cox model in R7min
Introduction to Missing Data5min
Reading4 leituras
Hazard Function and Risk Set20min
Practice in R: Simple Cox Model30min
Feedback: Simple Cox Model10min
Further Reading20min
Quiz2 exercícios práticos
Hazard function and Ratio5min
Simple Cox Model15min
Semana
3
Horas para completar
2 horas para concluir

The Multiple Cox Model

You’ll extend the simple Cox model to the multiple Cox model. As preparation, you’ll run the essential descriptive statistics on your main variables. Then you’ll see what can happen with real-life public health data and learn some simple tricks to fix the problem....
Reading
1 vídeo (total de (Total 6 mín.) min), 7 leituras, 1 teste
Reading7 leituras
Introduction to Running Descriptives10min
Practice in R: Getting to know your data30min
Feedback: Getting to know your data10min
How to run multiple Cox model in R20min
Introduction to Non-convergence10min
Practice: Fixing the problem of non-convergence10min
Feedback on fixing a non-converging model15min
Quiz1 exercício prático
Multiple Cox Model10min
Semana
4
Horas para completar
3 horas para concluir

The Proportionality Assumption

In this final part of the course, you’ll learn how to assess the fit of the model and test the validity of the main assumptions involved in Cox regression such as proportional hazards. This will cover three types of residuals. Lastly, you’ll get to practise fitting a multiple Cox regression model and will have to decide which predictors to include and which to drop, a ubiquitous challenge for people fitting any type of regression model....
Reading
3 vídeos (total de (Total 11 mín.) min), 7 leituras, 3 testes
Video3 videos
Cox proportional hazards assumption4min
Summary of Course2min
Reading7 leituras
Checking the proportionality assumption10min
Feedback on Practice Quiz10min
What to do if the proportionality assumption is not met20min
How to choose predictors for a regression model20min
Practice in R: Running a Multiple Cox Model
Results of the exercise on model selection and backwards elimination10min
Final Code10min
Quiz3 exercícios práticos
Assessing the proportionality assumption in practice5min
Testing the proportionality assumption with another variable15min
End-of-Module Assessment20min

Instrutores

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health

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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