About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
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Intermediate Level

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

Approx. 11 hours to complete
English

What you will learn

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

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

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

Skills you will gain

  • Understand common ways to choose what predictors go into a regression model
  • Run and interpret Kaplan-Meier curves in R
  • Construct a Cox regression model in R
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level

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

Approx. 11 hours to complete
English

Offered by

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Imperial College London

Start working towards your Master's degree

This course is related to the 100% online Global Master of Public Health from Imperial College London. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

The Kaplan-Meier Plot

4 hours to complete
4 videos (Total 16 min), 11 readings, 3 quizzes
Week
2

Week 2

2 hours to complete

The Cox Model

2 hours to complete
3 videos (Total 18 min), 4 readings, 2 quizzes
Week
3

Week 3

2 hours to complete

The Multiple Cox Model

2 hours to complete
1 video (Total 6 min), 7 readings, 1 quiz
Week
4

Week 4

3 hours to complete

The Proportionality Assumption

3 hours to complete
3 videos (Total 11 min), 7 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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