Courses open for registration
This is a basic course in epidemiology, which also covers a variety of analytic topics not commonly addressed in elementary statistics courses. This course will introduce students to the field of epidemiology. Students will critically evaluate articles in the epidemiologic literature and examine epidemiologic methods including:
In this course, students will learn about:
Throughout the course, students will gain hands-on experience working with a wide range of spatial data and analysis methods using ArcGIS.
This course examines the basics of what administrative data are:
This course also provides an overview of ethics and privacy issues related to research uses of administrative data as well as hands on data analysis using SAS software.
This course provides hands-on, project-based instruction on the concepts, processes and tools for monitoring and evaluating health services and programs. It covers engaging stakeholders; developing evaluation and monitoring questions; theories of change and logic models; selecting indicators and data collection methods and tools; reporting; and ethics and quality assurance in monitoring and evaluation. By the end of the course, students will have developed an evaluation of a health service or program of their choice in order to make recommendations for improvements and facilitate decision-making in their organization.
We will explore a variety of monitoring and evaluation approaches and discuss standards of practice, ethical considerations, and continuous learning in monitoring and evaluation. Special topics on cultural competencies will also be covered.
This course will provide you with an introduction to—and hands-on experience specifying—multi-level modeling and longitudinal analysis. You will gain an understanding of different types of approaches including:
This course is designed to serve the needs of researchers who will analyze and model longitudinal data in population health research.
This course provides an introduction to methods in spatial epidemiology and outbreak detection. The focus is on application rather than theory: this is not a course in spatial statistics.
The course is structured sequentially to move from spatial exploration of health data, to quantifying spatial patterns and clusters, to spatial exposure assessment and, finally, to methods for assessing risk.
Broadly, the spatial epidemiology part of the course focuses on:
The outbreak detection part of the course focuses on visualization of spatial data, disease surveillance and the use of spatial scan statistics in cluster detection.