Population Health: Predictive Analytics

Course Feature

Cost

Free
Provider

Coursera
Certificate

Paid Certification
Language

English
Start Date

10th Jul, 2023
Learners

No Information
Duration

No Information
Instructor

Ewout W. Steyerberg and David van Klaveren

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2.0

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This course, Population Health: Predictive Analytics, provides an in-depth look at the role of predictive analytics in medicine. Learn how to develop accurate prediction models, assess their validity, and understand the importance of the bias-variance tradeoff. Through lectures and practice quiz questions, you will gain a comprehensive understanding of the concepts and tools needed to make informed decisions on preventive measures and individualized treatments. Access R and example datasets within the Coursera environment, and explore further packages to use for certain types of analyses. This course is part of a Master's program in Population Health Management at Leiden University.

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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 26th, 2023]

This course provides an introduction to predictive analytics and its role in population health management. Students will learn how to develop accurate prediction models, assess their validity, and evaluate their performance. Topics covered include study design, sample size, overfitting, missing values, non-linear relations, model selection, bias-variance tradeoff, and model updating. The course will use R to illustrate the concepts introduced in the lectures. Quiz questions are included to help students assess their understanding of the material. This course is part of a Master's program in Population Health Management at Leiden University.

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