MRC Biostatistics Unit
The MRC Biostatistics Unit run a number of successful courses in statistics on a range of topics at different levels, for statistical, clinical and other audiences. These courses take place in Cambridge at the Cambridge Institute of Public Health, and are mostly either 1 day or 2 days.
Limited spaces are available, so be sure to register in order to secure a place. Participants will be asked to bring their own laptops to the practicals.
Information about upcoming courses is given below.
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Introduction to Statistical Concepts and Reasoning
Wednesday 16th October 2019
09:30 – 17:30
Course aims: This course will introduce participants to fundamental statistical concepts and develop their ‘statistical thinking’, the ability to critically interpret and appraise statistical aspects commonly found in published medical research. The course will not cover the underlying statistical methodology (i.e. few if any formulae) nor practical application of specific statistical techniques (i.e. will not be covering any specific statistical software). The course is focused on understanding and interpretation.
For further course details, please see: An Introduction to Statistical Concepts and Reasoning
Registration now closed- Course Full
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Introduction to Bayesian Statistics using BUGS
Wednesday 23rd October – Thursday 24th October 2019
09:30- 17:00
Course aims: This course is intended to provide an introduction to Bayesian analysis and MCMC methods, and a fairly detailed tutorial on the use of OpenBUGS/WinBUGS/JAGS.
For further course details, please see: Introduction to Bayesian statistics using BUGS
To register, click here
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Mendelian Randomization
Tuesday 26th November – Wednesday 27th November 2019
Course aims: Studies based on Mendelian randomization are increasingly being used to distinguish causal relationships from observational associations in epidemiology and to prioritize potential targets for pharmaceutical intervention. This course intends to explain both simple and more complex statistical methods for causal inference in Mendelian randomization studies, and the instrumental variable assumptions on which they are based. The course includes computing practicals (R and Stata will be supported).
For further course details, please see: Mendelian Randomization
To register, click here
A Research Symposium on Mendelian Randomization Methodology will be taking place on the morning of Thursday 28 November 2019 that is open to course attendees and non-course attendees. To find out more and to register, click here
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2020 COURSE DATES
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Introduction to ‘R’: free software for statistical analysis
Thursday 12 March 2020 – to register: click here
Monday 12 October 2020 – to register: click here
Course Times: 09:30-17:00
Course aims: R is a free, popular language and environment that allows powerful and fast manipulation of data, offering many statistical and graphical options. This course aims to introduce R as a tool for statistics and graphics, with the main aim being to become comfortable with the R environment. It will focus on entering and manipulating data in R and producing simple graphs. A few functions for basic statistics will be briefly introduced, but statistical functions will not be covered in detail.
For further course details, please see: An Introduction to ‘R’
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Statistical methods for design and analysis of precision medicine trials
Tuesday 24th March – Wednesday 25th March 2020
Course aims: In this course we introduce the concept of precision medicine and cover some innovative approaches, including basket, umbrella, Bayesian hierarchical modelling, adaptive signature and adaptive enrichment designs. These approaches have all been developed to improve power and patient benefit provided by clinical trials. Examples from a wide variety of therapeutic areas will be discussed, with implementation in R software. Perspectives will be given on the future development of design, conduct and analysis of clinical trials in the field.
This course will take place in the same week as our workshop on Clinical trials in the era of precision medicine: new developments
For further course details, please see: Statistical methods for design and analysis of precision medicine trials
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Introduction to Bayesian Statistics using BUGS
Monday 30 March 2020 – Tuesday 31 March 2020 : to register: click here
Tuesday 20 October – Wednesday 21 October 2020 : to register: click here
Course Times 09:30- 17:00
Course aims: This course is intended to provide an introduction to Bayesian analysis and MCMC methods, and a fairly detailed tutorial on the use of OpenBUGS/WinBUGS/JAGS.
For further course details, please see: Introduction to Bayesian statistics using BUGS
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Introduction to Statistical Concepts and Reasoning
Thursday 2 April 2020 – to register: click here
Monday 19 October 2020 – to register: click here
Course Time: 09:30 – 17:30
Course aims: This course will introduce participants to fundamental statistical concepts and develop their ‘statistical thinking’, the ability to critically interpret and appraise statistical aspects commonly found in published medical research. The course will not cover the underlying statistical methodology (i.e. few if any formulae) nor practical application of specific statistical techniques (i.e. will not be covering any specific statistical software). The course is focused on understanding and interpretation.
For further course details, please see: An Introduction to Statistical Concepts and Reasoning
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Advanced Bayesian Modelling with BUGS
Wednesday 24th June – Thursday 25th June 2020 – to register: click here
Course aims: This course is designed for statisticians who want to improve their command of the BUGS modelling software. We will assume a previous knowledge of BUGS to the level of our companion course “Introduction to Bayesian analysis using BUGS”. Participants will learn how the BUGS language can be used to build models that represent the complexities of real data
For further course details, please see: Advanced Bayesian Modelling with BUGS
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If the Registration form does not work, please email us your details via BSU Course Administrator.
For further information about the BSU Short Courses please contact the BSU Course Administrator:
Tel: 01223 330366
Email: courseadmin@mrc-bsu.cam.ac.uk