Overview
Description
Introduction to the SAS and R statistical software applications. Hands on computer lab sections provide students skills and first-hand experience in public health data analysis and data management.
Units
Lecture2
Laboratory Studio1
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- manage and analyze data using classic and modern approaches appropriate for various study designs using software packages such as SAS, R, STATA, SPlus, and WinBUGS.
- interpret results from statistical analyses of epidemiologic studies.
- formulate appropriate sampling strategies.
- defend analytical models and the results from statistical inferences to diverse audiences trough written and oral presentations.