About this Course

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Intermediate Level

Basic familiarity with R, knowledge of basic statistical concepts. Completing 'Population Health: Responsible Data Analysis' beforehand recommended.

Approx. 18 hours to complete
English

What you will learn

  • Understand the role of predictive analytics for prevention, diagnosis, and effectiveness

  • Explain key concepts in prediction modelling: appropriate study design, adequate sample size and overfitting

  • Understand important issues in model development, such as missing data, non-linear relations and model selection

  • Know about ways to assess model quality through performance measures and validation

Skills you will gain

Predictive Analyticsmedical statisticsR ProgrammingRegression Analysis
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

Basic familiarity with R, knowledge of basic statistical concepts. Completing 'Population Health: Responsible Data Analysis' beforehand recommended.

Approx. 18 hours to complete
English

Offered by

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Universiteit Leiden

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Welcome to Leiden University

2 hours to complete
2 videos (Total 7 min), 6 readings
3 hours to complete

Prediction for prevention, diagnosis, and effectiveness

3 hours to complete
6 videos (Total 28 min)
Week
2

Week 2

4 hours to complete

Modeling Concepts

4 hours to complete
6 videos (Total 30 min), 3 readings, 3 quizzes
Week
3

Week 3

4 hours to complete

Model development

4 hours to complete
6 videos (Total 30 min), 4 readings, 2 quizzes
Week
4

Week 4

6 hours to complete

Model validation and updating

6 hours to complete
6 videos (Total 33 min), 2 readings, 5 quizzes

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