The course prepares the student in the development and application of statistical reasoning and methods in addressing, analyzing and solving problems in public health; healthcare; and biomedical, clinical and population-based research. For information regarding prerequisites for this course, please refer to the Academic Course Catalog. The purpose of this biostatistics course is to provide students in the Master of Public Health program the opportunity to attain statistical literacy. It is important for public health professionals to be able to understand, apply, and effectively articulate concepts pertaining to research design, data collection, data analysis, results reporting, statistical testing and interpretation.
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Disease surveillance systems and health data sources provide the raw information necessary to monitor trends in health and disease. Descriptive epidemiology provides a way of organizing and analyzing these data in order to understand variations in disease frequency geographically and over time, and how disease or health varies among people based on a host of personal characteristics person, place, and time. This makes it possible to identify trends in health and disease and also provides a means of planning resources for populations. In addition, descriptive epidemiology is important for generating hypotheses possible explanations about the determinants of health and disease.
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The Framingham Risk Score is a gender-specific algorithm used to estimate the year cardiovascular risk of an individual. The Framingham Risk Score was first developed based on data obtained from the Framingham Heart Study , to estimate the year risk of developing coronary heart disease. The Framingham Risk Score is one of a number of scoring systems used to determine an individual's chances of developing cardiovascular disease. A number of these scoring systems are available online.