Multilevel models and health economics

Area of Science:

• Health Economics
• Statistics
• Educational Research

Background:

• Multilevel analyses are established statistical methods in education for examining pupil-school relationships.
• These methods have expanded into social sciences and health research.
• The application of multilevel models in health economics literature remains limited.

Purpose of the Study:

• To introduce multilevel models to the health economics field.
• To identify potential applications of multilevel modeling within health economics research.

Main Methods:

• The paper provides an introductory overview of multilevel models.
• It discusses the theoretical underpinnings and structure of these models.

Main Results:

• Multilevel models offer a robust framework for analyzing hierarchical data common in health economics.
• Potential applications include analyzing patient outcomes within healthcare systems or geographic regions.

Conclusions:

• Multilevel modeling presents a valuable, underutilized statistical approach for health economics.
• Adoption of these methods can enhance the analysis of complex health economic data and research questions.