Gail Rogers
Instructor
Ms. Rogers is a Senior Statistician in the Nutritional Epidemiology Program at the HNRCA and an Instructor at the Friedman Shool. She teaches an Introduction to SAS programming course for Nutritional epidemiology students. This class provides students with sufficient knowledge to obtain, manage, clean and prepare data in SAS for Windows. Emphasis is placed on the basics of SAS programming and data manipulation. Ms. Rogers leads a directed study of the National Health and Nutrition Examination Survey (NHANES) dietary tutorial. This tutorial provides students with knowledge of how to access, analyze, interpret and report on simple NHANES analyses as well as familiarize themselves with National Cancer Institute’s macros for usual intake.As a member of the Nutritional Epidemiology Program, the overall mission of this program is to 1) to identify environmental, lifestyle and genetic factors that influence the nutritional status and requirements of the elderly, and 2) to determine the role of nutritional status in healthy aging and the development of chronic disease and age-related impairments such as cardiovascular disease (CVD), dementia, type 2 diabetes mellitus (DM), cataract and maculopathy. Our mission will be achieved through the application of epidemiological methods and community-based investigation of aging population samples.
Education
- Boston University: M.A. in Biostatistics 2000
- Gordon College: B.A. in Psychology 1991
Research Activities
As a member of the Nutritional Epidemiology Program, the overall mission of this program is to 1) to identify environmental, lifestyle and genetic factors that influence the nutritional status and requirements of the elderly, and 2) to determine the role of nutritional status in healthy aging and the development of chronic disease and age-related impairments such as cardiovascular disease (CVD), dementia, type 2 diabetes mellitus (DM), cataract and maculopathy. Our mission will be achieved through the application of epidemiological methods and community-based investigation of aging population samples.
