Course Description

Welcome to "Linear Regression in Healthcare Data Analysis," an intermediate-level course offered by MGH Institute as part of the MicroMasters® Program in Healthcare Data Analytics Toolkit. This comprehensive and engaging course is designed to equip you with the essential skills and knowledge needed to analyze linear relationships in healthcare data using R statistical programming.

What You'll Learn

• Implementing and interpreting simple and multiple linear regression models
• Conducting diagnostic tests to validate linear regression models
• Utilizing dummy variables in regressions and understanding their implications
• Effectively communicating analysis results in simple, accessible language

Prerequisites

To succeed in this course, you should have completed DA-601: Introduction to Healthcare Data Analysis or have equivalent knowledge. Familiarity with basic statistical concepts and R programming would be beneficial.

Course Content

• Introduction to correlation and linear relationships in healthcare data
• Simple Ordinary Least Squares (OLS) linear regression
• Dummy variables and multiple OLS linear regression
• OLS linear regression diagnostic tests
• Univariate and multivariate statistical methods in healthcare data analysis
• Application of statistical methods using R programming
• Mathematical foundations and assumptions of statistical techniques

Who Should Take This Course

This course is ideal for healthcare professionals, data analysts, researchers, and students who want to enhance their skills in healthcare data analysis. It's perfect for those looking to advance their careers in the rapidly growing field of healthcare analytics or improve their decision-making capabilities using data-driven insights.

Real-World Applications

• Analyzing patient outcomes and treatment effectiveness
• Predicting healthcare costs and resource allocation
• Identifying risk factors for various diseases
• Evaluating the impact of health interventions and policies
• Optimizing hospital operations and resource management
• Conducting evidence-based research for medical studies
• Developing data-driven strategies for improving patient care

Course Structure

The course is divided into four modules:

1. Introduction to Correlation and Linear Relationships
2. Simple OLS Linear Regression
3. Dummy Variables and Multiple OLS Linear Regression
4. OLS Linear Regression Diagnostic Tests

Assessment Structure

This self-paced course combines written content, video lectures, hands-on activities, and assessments to provide a rich and interactive learning experience. By enrolling in this course, you'll gain valuable skills that will set you apart in the competitive field of healthcare data analysis and contribute to better decision-making in the healthcare industry.