Happy New Year! 

*With apologies for cross posting*

Kick start 2024 with one of our intensive online short courses in medical statistics and modelling. Places are available on the following courses in 2024:

Improving your Stata: data management, publication-quality outputs, and automating tasks
28 February - 1 March 2024

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.


Introduction to Linear and Logistic Regression Models
4 - 8 March 2024

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.

“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, March 2023


Introduction to Network Meta-Analysis
11 - 15 March 2024

Network meta-analysis allows one to simultaneously estimate relative effectiveness of multiple interventions, and has been described as part of the "next generation tool-kit" for evidence synthesis. It is used to inform health and care reimbursement and commissioning decisions. This course provides a practical introduction to NMA, from a team of statisticians, reviewers, and economists who have been at the forefront of developing methods for network meta-analysis over the last 20 years.

“This course was one of the most well-organised courses I've attended so far. The tutors were excellent. The material and the succession of topics were stellar. Cudos to everyone involved and many thanks for a great learning experience" - Course feedback, May 2022


Multiple Imputation for Missing Data
10 - 12 June 2024

Missing data are almost inevitable in medical research. This leads to a loss of power and potential bias. Multiple imputation is a widely-used and flexible approach for handling missing data. This course aims to provide a theoretical and practical introduction to multiple imputation methods for dealing with missing data in straightforward situations.

“The course is meticulously organised, and the instructors are incredibly knowledgeable and helpful. Despite the complexity of the topic, they have successfully made the content understandable" - Course feedback, June 2023


Essentials of Infectious Disease Modelling and Economic Evaluation
17 - 18 June 2024

Mathematical modelling is an important tool that can be used to understand the dynamics of infectious diseases. Academics working within Bristol Medical School, including those who tutor on the course, are involved in international research on human and zoonotic infectious diseases to help understand epidemics and predict the future burden of diseases, as well as the impact of different control measures to inform policy. 


Statistical Methods for Mediation Analysis
24 - 25 June 2024

Mediation analysis examines what variables may lie on the causal pathway between an exposure and an outcome. Mediation models are useful for understanding aetiology, providing evidence to confirm and refute theory, and assessing the impact of intervening on a mediator when it is not possible to alter an exposure. This course aims to provide an understanding of the statistical principles behind, and the practical application of, mediation analyses in epidemiology.


Introduction to Rates and Survival Analysis
26 - 28 June 2024

This course introduces the analysis of survival-time outcomes, consisting of the time each person "survives" until some specified event occurs. This course aims to give students a grounding in the theory behind the methods most commonly used to analyse rates and survival-time data, as well as extensive hands-on experience of their application in Stata software.

“I highly recommend this course to anyone seeking to deepen their understanding of rates and survival analysis. The content was rich and informative. The course instructors are highly knowledgeable about the subject and were available to answer questions and assist participants in resolving issues. The course materials provided also facilitated the learning process" - Course feedback, April 2023


Causal Inference in Epidemiology: Concepts and Methods
1 - 4 July 2024

Causal inferences from observational studies rely on assumptions, some of which we cannot test using the data. Therefore it is important to learn the rules of Directed acyclic graphs (DAGs) as a way to document these assumptions. This course aims to define causation in biomedical research, describe methods to make causal inferences in epidemiology and health services research, and demonstrate the practical application of these methods.


Introduction to Economic Evaluation
8 - 10 July 2024

Economic evaluation is used to compare health and social care interventions and treatment options in terms of both costs and outcomes in order to assess value for money and support decision makers. This course aims to provide an introduction to the theory and practice of assessing value for money in health and care.

“Really great overview of health economics and you led us through the processes and concepts really well. I genuinely now feel like I can understand health economics papers and could have a sensible conversation with a health economist about including it in a trial" - Course feedback, February 2022


Further Survival Analysis
11 - 12 July 2024

Survival analysis, also known as time-to-event analysis, uses duration data to estimate rates of events and associations of time with possible explanatory variables. University of Bristol academics (including those tutoring on this course) have wide-ranging experience in applying these methods within health research.


Economic Evaluation Modelling Using R
16 - 18 July 2024

The R statistical software provides an efficient, flexible, transparent, and extensible tool for building models for economic evaluation in healthcare. It is an increasingly popular alternative to less efficient, generalisable and powerful software such as spreadsheets. This course aims to teach the use of R for building decision trees, Markov, and semi-Markov models for economic evaluation and value of information analysis.

“The course was very interesting, relevant and useful. The tutors were all very knowledgeable, clear and approachable. I think the course ran over a good length of time to allow us to go into a suitable level of detail” - Course feedback, May 2023


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: www.bris.ac.uk/medical-school-short-courses/

With best wishes,
The Short Course Team

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