Employing techniques of spatial statistical analysis can provide important insights in research studies. In this webinar, Dr. Jaymie Meliker provides a historical perspective on GIS, spatial software tools, and spatial data; describes the importance of space-time data and software; argues why spatial statistical analysis is important; and explains examples of cluster analyses of early and late stage breast cancer, cancer clusters in case-control residential histories, and space-time exposure reconstruction over the life-course.
The presentation covered the following learning objectives:
- Discuss why temporal data are becoming increasingly part of spatial analyses
- Explain why statistical analyses are important as opposed to merely visualizing patterns
- Discuss benefits and drawbacks of using aggregated vs. point data in spatial analysis
- Describe a couple examples using mobile population data in epidemiologic analyses
Speaker: Jaymie Meliker, PhD, Associate Professor Preventive Medicine at Stony Brook Program in Public Health
Date: Thursday, May 29, 2014
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If you are employed by NYS or a local health department in NYS, we recommend that you register for this course through the NYS Department of Health Learning Management System (DOH LMS).