This class will introduce common data management techniques in Stata. Topics covered include basic data manipulation commands such as: recoding variables, creating new variables, working with missing data, and generating variables based on complex selection criteria. Participants will be introduced to strategies for merging datasets (adding both variables and observations), and collapsing datasets. This workshop is intended for users who have an introductory level of knowledge of Stata software.
This hands-on class provides a comprehensive introduction to estimating the linear regression model using ordinary least squares in Stata. Topics for the class include multiple regression, dummy variables, interaction effects, hypothesis tests, and model diagnostics. Prerequisites include a general familiarity with Stata, including importing and managing datasets and data exploration, the linear regression model, and the ordinary least squares estimation.
This hands-on class will provide a comprehensive introduction to graphics in Stata. Topics for the class include graphing principles, descriptive graphs, and post-estimation graphs. This is an introductory workshop appropriate for those with little experience with graphics in Stata. Prerequisite: a general familiarity with Stata (such as taking the Introduction to Stata workshop).
Get an introduction to R, the open-source system for statistical computation and graphics. With hands-on exercises, learn how to import and manage datasets, create R objects, install and load R packages, conduct basic statistical analyses, and create common graphical displays. This workshop is appropriate for those with little or no prior experience with R.
Our team of consultants can run trainings, give presentations to groups or hold office hours on site. If you have ideas for ways we can help your research, please get in touch: firstname.lastname@example.org