HLTH 440
Download as PDF
Introduction to Statistical Computing in Epidemiology (SAS)
Public Health
College of Life Sciences
Course Description
Introduction to the basics of SAS and EXCEL focusing on the set of commands useful for data-reporting, data-management, formatting and graphics, and data-analysis. Topics include tables and regression models for epidemiologists (cumulative-incidence, case-control, and incidence rate data).
When Taught
Fall and Winter
Min
3
Fixed/Max
3
Fixed
3
Fixed
0
Recommended
Stat 121
Title
Data Management
Learning Outcome
Identify the principles of data management.
Title
Presentation of Data
Learning Outcome
Describe how/when to use tables, charts and graphs for data presentation.
Title
Charts & Graphs
Learning Outcome
Create tables, graphs and charts in Excel for presenting public health data.
Title
SAS
Learning Outcome
Use SAS to manipulate datasets provided by sources such as the Centers for Disease Control and Prevention.
Title
SAS Procedures
Learning Outcome
Use basic SAS procedures to explore, describe and analyze data, including proc contents, proc freq, proc means, proc univariate and proc print.
Title
Data Cleaning & Recoding
Learning Outcome
Clean and recode data to prepare it for analysis using a variety of data cleaning techniques. Document all cleaning and recoding using comments in the SAS program and external documentation (code books, data dictionaries etc.).
Title
Output
Learning Outcome
Create clear and documented output using labels, titles, and formats.
Title
Basic Analysis
Learning Outcome
Conduct basic analyses using SAS including frequencies, proportions, chi-square, relative risk, odds ratio & logistic regression.
