Linear Relationship Data in Healthcare

In this course, you will develop a working knowledge of linear relationship data in healthcare and practice using R statistical programming to analyze this data. You will learn about some of the most common univariate and multivariate statical methods used in healthcare data analysis and practice applying them in a statistical software package. While the course focuses on application and the use of these statistical methods, there is some discussion of the mathematical underpinning, relevant formulae, and assumptions necessary for understanding the application of statistical methods. This self-paced course is comprised of written content, video content, step-by-step follow-along activities, and assessments to reinforce your learning (Assessments available to Verified Track learners only). The course is comprised of 4 modules that you should complete in order, as each subsequent module builds on the previous one. Module 1: Introduction to Correlation and Linear Relationships Module 2: Simple OLS Linear Regression Module 3: Dummy Variables and Multiple OLS Linear Regression Module 4: OLS Linear Regression Diagnostic Tests

• Implement simple and multiple linear regression models and interpret their results.
• Perform diagnostic tests for linear regression models to determine their validity.
• Use dummy variables in regressions and interpret their results.
• Communicate the results of their analysis to others in a simple language.

• DA-601: Introduction to Healthcare Data Analysis