Computer Applications in Epidemiology

Computer Applications in Epidemiology
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).
 Hours3.0 Credit, 3.0 Lecture, 0.0 Lab
 PrerequisitesHLTH 345
 RecommendedStat 121.
 ProgramsContaining HLTH 440
Course Outcomes

Data Management

Identify the principles of data management.

Presentation of Data

Describe how/when to use tables, charts and graphs for data presentation.

Charts & Graphs

Create tables, graphs and charts in Excel for presenting public health data.


Use SAS to manipulate datasets provided by sources such as the Centers for Disease Control and Prevention.

SAS Procedures

Use basic SAS procedures to explore, describe and analyze data, including proc contents, proc freq, proc means, proc univariate and proc print.

Data Cleaning & Recoding

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.).


Create clear and documented output using labels, titles, and formats.

Basic Analysis

Conduct basic analyses using SAS including frequencies, proportions, chi-square, relative risk, odds ratio & logistic regression.