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

 
Share Download as iCal file
Click the icons above to Share, Tweet or add this event to your calendar (iCal)
 
Training courses/workshops (non-RSS)

From Monday 04 November 2019
To Friday 08 November 2019

 
Location Keppel Street London WC1E 7HT

About the event:

The aim of the course is to teach competent Stata users the techniques that allow you to get the most out of Stata and speed up the output of your work.

As well as being a powerful tool for statistical analysis, Stata offers a variety of commands for manipulating your data and for formatting, arranging and exporting your results.

The 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 would be 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.

The course is taught by research staff from the Population Studies Group, who regularly use Stata for large-scale analyses using multiple data sources. The examples used in the course are drawn from the background of the tutors and are, therefore, from the population and health sciences. However, none require any specialist knowledge of the field.

Much of the material in the course has been developed with students and staff from the UK and overseas. Most teaching is hands-on, using Stata to tackle a series of exercises designed to illustrate the use of particular commands in order to solve a variety of problems. These exercises are supplemented by short lectures and a very comprehensive set of notes. There is a strong emphasis throughout on providing information that can be built on to tackle new problems and to be applied in different situations.

We use Stata 15 in a Windows environment; users of other operating systems should note that, although almost everything is the same, there are some differences between operating systems and these are not covered in the course.

 

More information about the course as well as enrolment instructions can be found here: https://www.lshtm.ac.uk/study/courses/short-courses/advanced-stata 

Organiser Name Emma Slaymaker and Milly Marston

Email Address This email address is being protected from spambots. You need JavaScript enabled to view it.

Organising Group(s) London School of Hygiene and Tropical Medicine

 

 

 

 

Join the RSS

Join the RSS

Become part of an organisation which works to advance statistics and support statisticians

Copyright 2019 Royal Statistical Society. All Rights Reserved.
12 Errol Street, London, EC1Y 8LX. UK registered charity in England and Wales. No.306096

Twitter Facebook YouTube RSS feed RSS feed RSS newsletter

We use cookies to understand how you use our site and to improve your experience. By continuing to use our site, you accept our use of cookies and Terms of Use.