HAD5772H

Prerequisite (recommended)

A graduate-level, introductory statistics course

Description

This course is designed to provide introductory background in statistical thinking, and to prepare students in the following areas: data handling, cleaning, and visualization in R; correlation; confidence intervals and hypothesis testing; regression; and applications to health systems research.

Objectives

At the end of this course, students should be able to:

• Use the computer program R for data management, statistical exploration, and analysis.
• Demonstrate an understanding (both conceptual and practical) of analytical approaches.
• Identify and execute appropriate analytical approaches to address specific research questions and collected data.
• Understand, explain, and present analytical results.
• Interpret and critique analytical methods used in the cutting edge of quantitative health systems research.

Instructor

Evaluation