Description: This course teaches the fundamentals of data management, processing, manipulation, and critical review of data in SAS for epidemiologic and statistical analysis.
Course Goals: As a hands-on class, this course aims to teach the basics of SAS in addition to sharpening student's intuition about how to use, manipulate, review, interpret, and judge others' claims about data.
Competencies: 3.H. Computer Packages in Data Analysis
1.Use of computer packages for data entry and data analysis, to include spreadsheets, SAS, SPSS, STATA, and Epi Info.
3.J. Data Management
1.Different types of data (qualitative and quantitative), the scale used to measure the data (nominal, ordinal, interval, and ratio scales), and how the scale used relates to data coding, data entry, and generating a codebook.
2.Standard practices for data coding, data entry, generating codebooks for an epidemiological dataset, data verification, cleaning, and editing.
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.