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Subject:

Short Courses in Statistics, by MRC Biostatistics Unit, University of Cambridge - 2019 Dates

From:

"Quenault, Alison" <[log in to unmask]>

Reply-To:

Quenault, Alison

Date:

Fri, 7 Dec 2018 14:43:41 +0000

Content-Type:

text/plain

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The MRC Biostatistics Unit at the University of Cambridge, 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 in 2019 is below.



Introduction to 'R': free software for statistical analysis

Wednesday 13th March 2019

One day course by:
Martin Law, MRC Biostatistics Unit
Sean Yiu, MRC Biostatistics Unit

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'<https://www.mrc-bsu.cam.ac.uk/training/short-courses/an-introduction-to-r/>

To register, click here<https://onlinesales.admin.cam.ac.uk/conferences-and-events/mrc-biostatistics-unit/mrc-biostatistics-unit-short-courses/an-introduction-to-r-free-software-for-statistical-analysis-13-march-2019>



Mendelian Randomization

Wednesday 20th - Thursday 21st March 2019

Two day course by:
Stephen Burgess, MRC Biostatistics Unit
*Additional course leaders to be announced soon*

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<https://www.mrc-bsu.cam.ac.uk/training/short-courses/mendelian-randomization-course/>

To register, click here<https://onlinesales.admin.cam.ac.uk/conferences-and-events/mrc-biostatistics-unit/mrc-biostatistics-unit-short-courses/mendelian-randomization-course-20-21-march-2019>

A Research Symposium on Mendelian Randomization Methodology will be taking place on the morning of Friday 22nd March 2019 that is open to course attendees and non-course attendees. To find out more and to register, click here<https://www.mrc-bsu.cam.ac.uk/news-and-events/workshops/mendelian-randomization-symposium/>

Introduction to Statistical Concepts and Reasoning

Tuesday 26th March 2019

One day course by:
Simon R. White, MRC Biostatistics Unit

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<https://www.mrc-bsu.cam.ac.uk/training/short-courses/introductory-statistics/>

To register, click here<https://onlinesales.admin.cam.ac.uk/conferences-and-events/mrc-biostatistics-unit/mrc-biostatistics-unit-short-courses/an-introduction-to-statistical-concepts-and-reasoning-26-march-2019>

Introduction to Bayesian Statistics using BUGS

Wednesday 27th - Thursday 28th March 2019

Two day course by:
 Chris Jackson, MRC Biostatistics Unit
 Robert Goudie, MRC Biostatistics Unit
 Anne Presanis, MRC Biostatistics Unit

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<https://www.mrc-bsu.cam.ac.uk/training/short-courses/bayescourse/>

To register, click here<https://onlinesales.admin.cam.ac.uk/conferences-and-events/mrc-biostatistics-unit/mrc-biostatistics-unit-short-courses/introduction-to-bayesian-statistics-using-bugs-27-28-march-2019>

Advanced Bayesian Modelling with BUGS

Wednesday 19th - Thursday 20th June 2019

Two day course by:
 Chris Jackson, MRC Biostatistics Unit
 Robert Goudie, MRC Biostatistics Unit
 Anne Presanis, MRC Biostatistics Unit

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<https://www.mrc-bsu.cam.ac.uk/training/short-courses/advanced-bayesian-modelling-with-bugs/>

To register, click here<https://www.mrc-bsu.cam.ac.uk/training/short-courses/advanced-bayesian-modelling-with-bugs/>

________________________________



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

Tel: 01223 330366
Email: [log in to unmask]<mailto:[log in to unmask]>



Alison Quenault
Communications Manager
MRC Biostatistics Unit, University of Cambridge

Tel: 01223 768263

Website: www.mrc-bsu.cam.ac.uk<http://www.mrc-bsu.cam.ac.uk/>
Twitter: @MRC_BSU<https://twitter.com/MRC_BSU>


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