*With apologies for cross posting*
Don't miss out on bookings for our 'Improving your Stata' and 'Introduction to Linear and Logistic Regression Models' courses:
Improving your Stata: data management, publication-quality outputs, and automating tasks
28 Feb – 1 Mar 2024
£660
This course aims to provide a more advanced knowledge of Stata 15/16 statistical software package, led by experienced Stata users from within Bristol Medical School. We cover graphical features, exporting results from Stata output and manipulating data.
“I think the whole organisation of the course was very well thought out and delivered. The manual that was produced was also very helpful with lots of useful examples that I'm sure will came in useful in the future” – course feedback
Introduction to Linear and Logistic Regression Models
4-8 March 2024
£1,100
Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply them allows students to comprehend the results presented in research papers and interrogate their own data. These models also form the building blocks for more advanced statistical techniques taught in other short courses offered by Bristol Medical School. The tutors of this course have extensive experience teaching applied statistics to a wide range of healthcare researchers, both clinical and non-clinical, using real-world data in demonstrations.
“Excellent course. Stephanie was absolutely amazing. I felt the course structure was great. Really comprehensive but moved at a slow enough pace to allow me to get my head around the different concepts” – course feedback
Our online courses are delivered by topic specialists within the Bristol Medical School and provide continued access to online learning materials and recordings for a further 3 months after the course.
Visit our website for more information and course bookings: https://www.bristol.ac.uk/medical-school-short-courses/
With best wishes,
The Short Course Team
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