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Stata: an Introduction

  • 5 hours
  • 1 day
  • 26 March 2019

Overview

This one-day practical workshop will introduce you to the statistical software Stata and how to use it to carry out statistical analysis.

You'll learn how to enter and manipulate data, and the basics of analyses and graphs

It's suitable for those with little or no experience of Stata, or those who want a refresher. A basic knowledge of statistics would be helpful.

You can also take this course over two evenings.

This course is run by UCL's Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).

Course content

This course will cover the following topics:

  • Getting started with the Stata interface
  • Data entry/loading (including do files and log files)
  • Data manipulation
  • Descriptive statistics
  • Graphics
  • Parametric tests
  • Non-parametric tests

Computers and software

The course will take place in a cluster room, with access to a computer and Stata.

You're welcome to bring your own laptop if you prefer, but you should ensure Stata is installed before attending (installation guidelines will be made available two weeks before the course).

Learning outcomes

By the end of this course you should be able to:

  • feel familiar with the Stata interface, and style of programming language
  • read existing datasets into Stata
  • modify the format of your data to make it easier to analyse
  • summarise basic statistics
  • produce and edit graphical displays
  • perform basic statistical analysis tests

Certificates

You can request a certificate of attendance for this course once you've completed it. Please send your request to ich.statscou@ucl.ac.uk

Include the following in your email:

  • the name of the completed course for which you'd like a certificate
  • how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)

Cost and concessions

The fees are as follows:

  • External delegates (non UCL) - £200
  • UCL staff, students, alumni - £100*
  • ICH/GOSH staff and students - free

* valid UCL email address and/or UCL alumni number required upon registration

Prices include printed course materials, refreshments (and lunch for non-ICH participants) 12:45pm - 1:45pm.

Cancellations

You can cancel your booking up to five working days before the start of the course for a full refund, but please give as much notice as possible. Places cancelled or changed after this point won't be eligible for a refund. Please send all cancellation requests to the course administrator.

Find out about other statistics courses

CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.

Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)

Sign up for short course announcements: Subscribe to the UCL Life Learning newsletter to receive news and updates on courses in your chosen area. (For updates on a specific course, contact the administrator - see 'Contact information'.)

Course team

Dr Dan Green - Course Lead

Dan joined GOS ICH in May 2017 as a Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics and a Master's degree in Medical Statistics from University of Leicester. He was awarded a NIHR Research Methods Fellowship, hosted at the Arthritis Research UK Primary Care Centre within Keele University. He started a PhD at the same department in 2012, with a NIHR School for Primary Care Research Studentship, exploring hand symptoms over a six year follow-up using latent-related methodology. During his six years at Keele, Dan was involved in numerous applied observational studies and a clinical trial that included a variety of statistical methods, with specialties including latent class analysis (and extensions), STATA programming and survival analysis.


Course information last modified: 07 Mar 2019, 13:50

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