Introduction to Stata

Note: Topics are subject to change.  Participants must sign up for the entire series.

This 2-day workshop introduces participants to the use of Stata for statistical analysis and data management. After an introduction to the fundamentals of the Stata environment, the workshop introduces importing and entering data, managing data sets, performing statistical analyses (including descriptive analysis, hypothesis testing, regression analysis, and analysis of survey data), and graphing tools within Stata.  The workshop will be taught using Stata for Windows.

Fundamentals

This portion introduces Stata for Windows, including the menus, help systems, search systems, and main windows within the Stata Environment. Entering data into Stata and defining variable attributes is introduced, in addition to the various methods of importing external data files into Stata. Using the menus to set up commands and procedures is contrasted with entering Stata commands interactively.

Data Management

This section introduces working with date and time variables, generating new variables and replacing values in existing variables, sorting data files, merging data files, computing dummy variables, and keeping and dropping variables and cases. Methods for describing and comparing data sets are also introduced.

Statistical Analysis

This section introduces basic descriptive and summary analyses in Stata, including standard numerical summaries of continuous variables, frequency and cross-tabulation analysis, and hypothesis testing for means and proportions. Commands for common regression analysis procedures (including linear and logistic regression) are also introduced, along with methods for analyzing data from complex sample surveys. Methods for analyzing subsets of data and performing analyses stratified by a categorical variable are also covered.

Additional Topics

The workshop will also provide participants with an introduction to commonly used graphing tools in Stata. And a basic introduction to Stata .do files.

Registration

To register for CSCAR Workshops, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode:

OFFICE HOURS

9:00 a.m. – 5:00 p.m., Monday through Friday
Closed 12pm – 1:00 p.m. every Tuesday for staff meeting.
Voice: (734) 764-7828 (4-STAT from a campus phone)
Fax: (734) 647-2440

ADDRESS

Consulting for Statistics, Computing and Analytics Research (CSCAR)
The University of Michigan
3550 Rackham
915 E. Washington St.
Ann Arbor, MI 48109-1070