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.
Throughout the course, we encourage participants to apply what there are learning to their own data, and particular challenges and have dedicated session on Friday afternoon to explore these further. Towards the end of the course we introduce structured exercises which bring together the skills learnt to tackle realistic challenges. 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. These exercises are supplemented by short lectures and a very comprehensive set of notes.
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. Much of the material in the course has been developed with students and staff from the UK and overseas. However, none require any specialist knowledge of the field. The examples used in the course are drawn from the background of the tutors and are, therefore, from the population and health sciences. The course is taught by research staff from the Population Studies Group, who regularly use Stata for large-scale analyses using multiple data sources.
We teach you how to reduce the time and code needed for data preparation and analysis, and to generate bespoke, reproducible and well-presented results. It would be particularly suited to those who are about to embark on large analyses. This course is aimed at researchers and other professionals, from any discipline, who want to learn how to work more efficiently with Stata. Ordinary Stata use can often be streamlined and automated using Stata’s programming commands and it is straightforward to develop and add new commands to Stata. In addition to analytical commands, Stata also has powerful commands for manipulating data, and for extracting, formatting and exporting results. The aim of this course is to teach regular Stata users skills to get the most out of Stata and speed up their work.
**This short course has been cancelled. Candidates should still be able to register their interest for 2021.** We would also strongly advise offer holders to book refundable tickets and accommodation as there is a chance that this may change. However, the situation is developing rapidly, and you are therefore encouraged to regularly check the latest updates on the situation through reliable sources such as Public Health England. If this affects you directly, we will be in touch with options opened to you.Ĭourses scheduled to run from September onwards are currently planned to be delivered as normal. Unfortunately, not all of our Short Courses can be delivered at a distance and will sadly be either cancelled or postponed. Wherever possible, an alternative online provision is being developed and we will publish further information on our website as soon as it is available. Health and Safety of our students and staff is our top priority and, with that in mind, a decision not to deliver any face-to-face teaching until at least September 2020 has been taken. LSHTM is following the latest advice for the UK from Public Health England (PHE) on the coronavirus outbreak. Use the drop-down menu: File > Import > Text data (delimited, *.csv. Here is an example of a do-file from a data provider that reads in fixed format data. In practice, data providers frequently complement fixed format data with the appropriate do-file (sometimes called a setup file) to read the data into Stata. When using the use command to read a dataset that is in Stata format (*.dta), the file extension can be omitted.Īt the very least, the data provider must provide the necessary information that lets you decipher a fixed format file.