About this Course

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Intermediate Level

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

Approx. 12 hours to complete
English

Skills you will gain

Logistic RegressionR Programming
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

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

Approx. 12 hours to complete
English

Offered by

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Imperial College London

Start working towards your Master's degree

This course 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.

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Introduction to Logistic Regression

2 hours to complete
3 videos (Total 12 min), 7 readings, 2 quizzes
3 videos
Introduction to Logistic Regression5m
Odds and Odds Ratios3m
7 readings
About Imperial College & the team5m
How to be successful in this course5m
Grading policy5m
Data set and Glossary10m
Additional Reading10m
Why does linear regression not work with binary outcomes?10m
Odds Ratios and Examples from the Literature10m
2 practice exercises
Logistic Regression10m
End of Week Quiz10m
Week
2

Week 2

3 hours to complete

Logistic Regression in R

3 hours to complete
2 videos (Total 11 min), 4 readings, 2 quizzes
2 videos
Logistic Regression in R5m
4 readings
How to Describe Data in R20m
Results of Cross Tabulation20m
Practice in R: Simple Logistic Regression15m
Feedback - Output and Interpretation from Simple Logistic Regression35m
2 practice exercises
Cross Tabulation30m
Interpreting Simple Logistic Regression30m
Week
3

Week 3

3 hours to complete

Running Multiple Logistic Regression in R

3 hours to complete
1 video (Total 4 min), 6 readings, 1 quiz
6 readings
Describing your Data and Preparing to Run Multiple Logistic Regression35m
Practice in R: Describing Variables20m
Feedback20m
Practice in R: Running Multiple Logistic Regression15m
Feedback: Multiple Regression Model
Feedback on the Assessment10m
1 practice exercise
Running A New Logistic Regression Model30m
Week
4

Week 4

5 hours to complete

Assessing Model Fit

5 hours to complete
3 videos (Total 17 min), 10 readings, 3 quizzes
3 videos
Overfitting and Non-convergence6m
Summary of the Course3m
10 readings
Model Fit in Logistic Regression10m
How to Interpret Model Fit and Performance Information in R10m
Further Reading on Model Fit20m
Summary of Different Ways to Run Multiple Regression10m
Practice in R: Applying Backwards Elimination30m
Feedback: Backwards Elimination20m
Practice in R: Run a Model with Different Predictors30m
Feedback on the New Model10m
Further Reading on Model Selection Methods20m
R Code for the Whole Module20m
3 practice exercises
Quiz on R’s Default Output for the Model30m
Overfitting and Model Selection20m
End of Course Quiz

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Statistical Analysis with R for Public Health

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