Description: Considers the uses of epidemiology with emphasis on the social determinants of chronic diseases and premature mortality. Theoretical as well as methodological issues in conducting social epidemiology research are emphasized. Designed for graduate students who have prior familiarity with the basic principles and methods of epidemiologic research.
Description: This course teaches the fundamentals of data management, processing, manipulation, and critical review of data in SAS for epidemiologic and statistical analysis.
Learning Objectives: By the end of this course, students should be able to read in raw data, merge files, recode existing variables, create new parameters, critically review data for errors, create graphics to understand data, construct datasets for statistical analysis, and interpret simple statistical output in SAS.
