Presented by Prof. Christopher F Baum, Boston College, USA and Dr. Vincent O'Sullivan, University of Lancaster
This course will be run as a webinar series, online.
All registrants will receive a free copy of the core course text in an ebook format: Christopher F Baum. 2016. An Introduction to Stata Programming, Second Edition. College Station, TX: Stata Press.
This course is taught in two sections. The first, is for Stata users–professionals and researchers from all academic disciplines–who would like to use Stata programming techniques to enhance the efficiency and reliability of their research. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to use do-file programming techniques effectively, including topics such as local and global macros, r-returns and e-returns, implicit and explicit loops and debugging techniques.
The second, is for users who have completed the companion course Introduction to Stata Programming and would like to use more advanced features of the Stata and Mata programming languages. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. Mata programming techniques will illustrate how this language can be used to simplify and accelerate computations.