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

What you will learn

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

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

  • Run multiple logistic regression analysis in R and interpret the output

  • Evaluate the model assumptions for multiple logistic regression in R

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
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
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
Week
4

Week 4

5 hours to complete

Assessing Model Fit

5 hours to complete
3 videos (Total 17 min), 10 readings, 3 quizzes

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About the Statistical Analysis with R for Public Health Specialization

Statistical Analysis with R for Public Health

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