Informações sobre o curso
4.6
10 classificações
2 avaliações

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. 9 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. 9 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

Welcome to Statistics for Public Health: Logistic Regression for Public Health! In this week, you will be introduced to logistic regression and its uses in public health. We will focus on why linear regression does not work with binary outcomes and on odds and odds ratios, and you will finish the week by practising your new skills. By the end of this week, you will be able to explain when it is valid to use logistic regression, and define odds and odds ratios. Good luck!...
3 vídeos (total de (Total 12 mín.) min), 7 leituras, 2 testes
3 videos
Introduction to Logistic Regression5min
Odds and Odds Ratios3min
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

In this week, you will learn how to prepare data for logistic regression, how to describe data in R, how to run a simple logistic regression model in R, and how to interpret the output. You will also have the opportunity to practise your new skills. By the end of this week, you will be able to run simple logistic regression analysis in R and interpret the output. Good luck! ...
2 vídeos (total de (Total 11 mín.) min), 4 leituras, 2 testes
2 videos
Logistic Regression in R5min
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

Now that you're happy with including one predictor in the model, this week you'll learn how to run multiple logistic regression, including describing and preparing your data and running new logistic regression models. You will have the opportunity to practise your new skills. By the end of the week, you will be able to run multiple logistic regression analysis in R and interpret the output. Good luck!...
1 vídeo (total de (Total 4 mín.) min), 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 Model10min
Feedback on the Assessment10min
1 exercício prático
Running A New Logistic Regression Model30min
Semana
4
5 horas para concluir

Assessing Model Fit

Welcome to the final week of the course! In this week, you will learn how to assess model fit and model performance, how to avoid the problem of overfitting, and how to choose what variables from your data set should go into your multiple regression model. You will put all the skills you have learned throughout the course into practice. By the end of this week, you will be able to evaluate the model assumptions for multiple logistic regression in R, and describe and compare some common ways to choose a multiple regression model. Good luck! ...
3 vídeos (total de (Total 17 mín.) min), 10 leituras, 3 testes
3 videos
Overfitting and Non-convergence6min
Summary of the Course3min
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
4.6
2 avaliaçõesChevron Right

Melhores avaliações

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

This curso is part of the 100% online Global Master of Public Health from Imperial College London. If you are admitted to the full program, your courses count towards your degree learning.

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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