Statistical Computing – Stata

Theme Co-ordinators: Tim Collier, Emma Slaymaker

Stata and Research at LSHTM

Stata is one of the key statistical tools employed by researchers at LSHTM. It is used across a broad spectrum of public health related research including epidemiology, medical statistics, demography, clinical trials, and health economics.

Our research experience with Stata goes back many years – indeed one member of staff has been using Stata since the mid 1980s and still possesses a copy of Stata 3.1 and a Stata demonstration diskette dating to 1984 by the Computing Resource Centre, Los Angeles – we’re not sure if he is still using them though!

In 2010 LSHTM was pleased to host the 14th UK Stata User Group meeting. The proceedings, abstracts and notes of this meeting can be viewed at

Stata and Teaching at LSHTM

Stata is the principal statistical software used in the teaching of many of the MSc courses including MSc Epidemiology, Demography and Health, Medical Statistics, and Public Health.

Stata Short Courses at LSHTM

Advanced Stata: Programming and other techniques to make your life easier

This one week course is aimed at researchers and other professionals, from any discipline, who regularly use Stata for analysis but want to learn how to work more efficiently. It is particularly suited to those who are about to embark on large analyses and who would like a quick guide on how to automate the repetitive parts of the process.

For more details see

Stata User Group at LSHTM

The LSHTM Stata User Group (SUG) meets regularly for discussion of issues relating to data management, data processing, statistical analyses, and programming in Stata.

Proceedings from past SUG meetings can be downloaded from the SUG past meetings page.

Useful Stata Links

The Stata user community is internationally research active. New programs are continually being developed and users are generous with sharing these new programs. There are a great many official and unofficial Stata related websites that provide help and advice starting from very basic Stata introductions, through tips on data management and programming, to more specialized statistical analyses. The following are links to just a few of these sites.