Stata short courses

• 6-7 April 2022 (Registrations must close two weeks prior to course commencement)
• 07-08 June 2022 (Registrations must close two weeks prior to course commencement)
• 17-18 August 2022 (Registrations must close two weeks prior to course commencement)

This online course covers the most commonly used Stata commands. Participants will learn techniques for organising their work efficiently and reproducibly in Stata. Participants will be shown how to create a do-file of Stata commands, import data into Stata, clean data, change data and create new variables, combine data files, save data, produce basic descriptive statistics, create simple graphs, and use Stata's extensive online help.  

Prerequisites

• Computer file management, e.g. how to recognise different file types by their extensions and how to move files between directories. The course is Windows-based, but participants using other platforms, such as Macintosh, should be able to follow the material presented. 
  
  

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• 6-7 April 2022 (Registrations must close two weeks prior to course commencement)
• 07-08 June 2022 (Registrations must close two weeks prior to course commencement)
• 17-18 August 2022 (Registrations must close two weeks prior to course commencement)

In this second Stata course, participants will learn how to carry out basic data analysis.  The emphasis is on techniques for organising work efficiently and reproducibly in Stata. The data analysis topics covered include: producing descriptive statistics, calculating confidence intervals, hypothesis testing (using chi square, t-tests and nonparametric tests), calculating odds ratios and relative risks and basic regression analysis. Students will be shown how to save results of analyses directly into Excel or Word. 

Prerequisites

his course is designed for people who have completed our Stata I course or equivalent.  It assumes participants will feel confident using basic commands in Stata, and creating log-files and do-files.  The focus of the course is on learning to apply Stata in statistical analysis.  As this is not a statistics course, participants are expected to have a basic knowledge of statistics, at least at the level of our Introduction to Biostatistics course.

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