Linear Regression in R for Public Health

Welcome to R for Public Health's linear regression tutorial! "The art and science of avoiding disease, extending life, and promoting health through the coordinated efforts of society" is the definition of public health. Clearly, a key component of this is understanding what causes sickness and what exacerbates it. This necessitates the creation of statistical models that detail how environmental and patient-related factors influence our propensity to become ill.

Linear Regression in R for Public Health course will teach you how to build such models from scratch, starting with an introduction to correlation and linear regression, followed by instructions on how to import and examine your data and then apply models. These models will explain how patient and other factors affect outcomes such as lung function using the example of respiratory disease.

The remaining courses in this series will examine two additional members of the family of regression models, of which linear regression is one. Even though the mathematical intricacies vary, regression models have a lot in common. You will learn how to prepare the data, evaluate how well the model fits the data, and test the model's underlying assumptions—all of which are crucial steps in any regression analysis. R is a free and adaptable piece of software that statisticians and data scientists use in academia, government, and business all across the world.

What you will learn

• Describe when it is appropriate to employ a linear regression model.
• Before beginning a model analysis, use the R software to read in and verify a data set's variables.
• Check model assumptions, fit a multiple linear regression model with interactions, and then analyze the results.

Skill you will gain

• Correlation And Dependence
• Linear Regression
• R Programming

Instructors: Alex Bottle and Victoria Cornelius
Offered by: Imperial College London

Coursera rating: 4.8/5.0, 447 ratings

Enroll here: https://www.coursera.org/learn/linear-regression-r-public-health