Informações sobre o curso
19,979 visualizações recentes

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

You'll need to have taken the Statistical Thinking and Linear Regression courses in this series or have equivalent knowledge.

Aprox. 10 horas para completar

Sugerido: 3-5 hours/week...

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Describe a data set from scratch using descriptive statistics and simple graphical methods as a first step for advanced analysis using R software

  • Check

    Interpret the output from your analysis and appraise the role of chance and bias as potential explanations

  • Check

    Run multiple logistic regression analysis in R and interpret the output

  • Check

    Evaluate the model assumptions for multiple logistic regression in R

Habilidades que você terá

Logistic RegressionR Programming

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

You'll need to have taken the Statistical Thinking and Linear Regression courses in this series or have equivalent knowledge.

Aprox. 10 horas para completar

Sugerido: 3-5 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

Introduction to Logistic Regression

3 vídeos (Total 12 mín.), 7 leituras, 2 testes
7 leituras
About Imperial College & the team5min
How to be successful in this course5min
Grading policy5min
Data set and Glossary10min
Additional Reading10min
Why does linear regression not work with binary outcomes?10min
Odds Ratios and Examples from the Literature10min
2 exercícios práticos
Logistic Regression10min
End of Week Quiz10min
Semana
2
3 horas para concluir

Logistic Regression in R

2 vídeos (Total 11 mín.), 4 leituras, 2 testes
4 leituras
How to Describe Data in R20min
Results of Cross Tabulation20min
Practice in R: Simple Logistic Regression15min
Feedback: Output and Interpretation from Simple Logistic Regression35min
2 exercícios práticos
Cross Tabulation30min
Interpreting Simple Logistic Regression30min
Semana
3
3 horas para concluir

Running Multiple Logistic Regression in R

1 vídeo (Total 4 mín.), 6 leituras, 1 teste
6 leituras
Describing your Data and Preparing to Run Multiple Logistic Regression35min
Practice in R: Describing Variables20min
Feedback20min
Practice in R: Running Multiple Logistic Regression15min
Feedback: Multiple Regression Model
Feedback on the Assessment10min
1 exercício prático
Running A New Logistic Regression Model30min
Semana
4
5 horas para concluir

Assessing Model Fit

3 vídeos (Total 17 mín.), 10 leituras, 3 testes
10 leituras
Model Fit in Logistic Regression10min
How to Interpret Model Fit and Performance Information in R10min
Further Reading on Model Fit20min
Summary of Different Ways to Run Multiple Regression10min
Practice in R: Applying Backwards Elimination30min
Feedback: Backwards Elimination20min
Practice in R: Run a Model with Different Predictors30min
Feedback on the New Model10min
Further Reading on Model Selection Methods20min
R Code for the Whole Module20min
3 exercícios práticos
Quiz on R’s Default Output for the Model30min
Overfitting and Model Selection20min
End of Course Quiz
4.7
5 avaliaçõesChevron Right

Principais avaliações do Logistic Regression in R for Public Health

por MAApr 1st 2019

This is one of the best courses. Dr. Alex is amazing and delivers the content quite well.

Instrutores

Avatar

Alex Bottle

Reader in Medical Statistics
School of Public Health

Comece a trabalhar rumo ao seu mestrado

Este curso é parte da graduação 100% on-line Global Master of Public Health da Imperial College London. Caso seja aceito para o programa completo, seus cursos contarão para sua graduação.

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 Análise estatística com R para saúde pública

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....
Análise estatística com R para saúde pública

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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