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DDHA 8800: Data Analysis and Decision Making for Healthcare Administration Practice

Week 5: Regression Models

How are regression models useful to healthcare administration practice? As a current or future healthcare administration leader, you may engage in conducting regression models for decision making.

Healthcare administration leaders may use regression models to explain the relationship between variables and to predict variations in these variables. When striving to continuously enhance healthcare delivery and minimize costs, healthcare administration leaders must be able to demonstrate how changes in certain variables impact their health services organization. Regression models are useful to help guide the healthcare administration leader in determining which variables most impact healthcare delivery.

This week, you explore regression models and apply regression models to healthcare administration practice problems. You also consider how you might integrate regression models for more advanced statistical analyses.

Learning Objectives

Students will:

Analyze dependent and independent variables for regression analysis

Analyze how to measure dependent and independent variables in a regression analysis

Conduct regression models for healthcare administration practice

Photo Credit: nmlfd/Creatas Video/Getty Images

Learning Resources

Required Readings

Albright, S. C., & Winston, W. L. (2017). Business analytics: Data analysis and decision making (6th

ed.). Stamford, CT: Cengage Learning.

Chapter 10, “Regression Analysis: Estimating Relationships”

Chapter 11, “Regression Analysis: Statistical Inference”

Fulton, L., Lasdon, L. S., & McDaniel, R. R. (2007). Cost drivers and resource allocation in military

health care systems. Military Medicine, 172(3), 244–249.

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