This course provides an introduction to linear regression models, allowing students to assess the relationship between variables in a data set and a continuous response variable. Through data examples, students will learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.
Linear Regression in R for Public Health
5.0
Coursera452 learners
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This course will teach you how to use the R programming language to perform linear regression analysis for public health research. This course provides an introduction to linear regression in R, covering topics such as data exploration, model building, and interpretation of results. Participants will gain the skills to apply linear regression to public health research.
The Classical Linear Regression Model
2.5
Coursera74 learners
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This course introduces the classical linear regression model, which is used to analyze the relationship between a dependent variable and one or more independent variables. It covers topics such as hypothesis testing, model specification, and interpretation of results.
Generalized Linear Models and Nonparametric Regression
2.0
Coursera0 learners
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This course provides learners with an introduction to advanced statistical modeling tools, such as GLMs, nonparametric modeling, and GAMs. It emphasizes a strong conceptual understanding of these tools, as well as ethical considerations when using them.
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