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 Department, 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 12 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.
The course can be divided broadly into three sections:
The course is designed for people who want to be more efficient in their use of Stata. Those who are already experienced in using Stata for data analysis will benefit most from the course. As a minimum, you should be able to use Stata for an analysis of some sort (linear regression, for example) generate, recode and label variables, and be comfortable writing comprehensive do files.
If you are already familiar with the merge, collapse, reshape and append commands, have used foreach or forvalues loops and can understand a simple Stata program, then this course may be too basic for you. If, on the other hand, none of that sounds familiar, then this could be exactly what you need!
If you have any doubt about whether the course would be suitable for you, please do get in touch with the organisers who will be able to advise you further.
Applicants should have a good command of English.
Payable by: 5 May 2015
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