Linear Relationship Data in Healthcare

Overview

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

Syllabus

Verified Learners can earn a certificate for this course by scoring at least 80% overall. Your score in this course is comprised of two main components: the Module Quizzes and a Summative Assessment at the end of the course.

Module Quizzes: These quizzes come at the end of each of the four modules of this course. They are comprised of 5-10 multiple choice, multiple select, fill-in-the-blank, dropdown, and numeric response questions and assess your knowledge of the preceding module -- 60% (15% for each quiz)
Summative Assessment: A final quiz that will be taken at the end of the course. It is comprised of multiple choice and multiple select questions from all four modules of the course. This activity assesses your completion of the course learning objectives -- 40%