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Cambridge Academy of Therapeutic Sciences

 

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.

 

Advanced Bayesian Modelling with BUGS

Wednesday 19th June – Thursday 20th June 2019

 09:30 – 17:30 Day 1 – 09:15 – Day 2

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

 

Adaptive Designs and Multiple Testing Procedures for Clinical Trials

Wednesday 2nd – Thursday 3rd October 2019

09:00-17:00

Course aims: In this course we will give an overview of multiple testing issues and adaptive designs in trials. Participants will learn about a variety of new adaptive clinical trial designs, including multi-arm multi-stage (MAMS), umbrella studies and adaptive randomisation. As well as learning about how to design adaptive trials we will cover the implications of the design on the analysis and practical aspects of running the trial.

For further course details, please see: Adaptive Designs and Multiple Testing Procedures for Clinical Trials

 

Introduction to ‘R’: free software for statistical analysis

Thursday 10th October 2019

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’

 

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

 

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

 

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

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.

 

Statistical Methods for the Design and Analysis of Precision Medicine Trials

Tuesday 24th March – Wednesday 25th March 201920

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

 

 

 

For further information about the BSU Short Courses please contact the BSU Course Administrator:

Tel: 01223 330366

Email: courseadmin@mrc-bsu.cam.ac.uk