Course Detail
Units:
3.0
Course Components:
Discussion
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: RHSCI 7120
Description
Data management and statistical methods in health-related disciplines with a focus on the practical application of these methods for graduate student research projects. The major goal of this course is to provide an examination of data management and statistical approaches. Specifically, identification of study subjects, creating variables, identifying correct statistical approaches based on the structure of the outcome variables, data visualization, identifying factors that are associated with outcomes, and appropriate number of subjects in research of health science. Examples will be drawn from numerous disciplines, with the primary emphasis placed on those dealing with topics directly related to health research. Students will be required to read, critically evaluate, and discuss research articles and conceptual papers. The course will use lectures, practices, and class discussions. This course will provide students the skills to successfully manage and build data for thesis or dissertation work. Students should have a basic understanding of statistics (variance, median, mean, etc.) and research designs (eg. cohort, case-control). Specific statistics will be discussed.