Workshop on R for trial and model-based cost-effectiveness analysis
Venue: University College London, United Kingdom.
Website: http://www.statistica.it/gianluca/teaching/r-hta-workshop/2019/
Dates: 8th July (training event) and 9th July (workshop).
Organizer: Howard Thom, Bristol Medical School: Population Health Sciences, University of Bristol.
It is our pleasure to announce a workshop and training event on the use of R for trial and model-based cost-effectiveness analysis (CEA). This follows our successful workshop on R for CEA in 2018. Our event will begin with a half-day short course on R for decision trees and Markov models and the use of the BCEA package for graphical and statistical analysis of results; this will be delivered by Gianluca Baio of UCL and Howard Thom of Bristol University. This will be followed by a one-day workshop presenting a wide variety of technical aspects by experts from academia, industry, and government institutions (including NICE). Topics will include decision trees, Markov models, discrete event simulation, integration of network meta-analysis, extrapolation of survival curves, and development of R packages.
We will include a pre-workshop virtual code challenge on a problem set by our scientific committee. This will take place over Github and a Slack channel with participants encouraged to submit final R code solutions for peer review on efficiency, flexibility, elegance and transparency. Prizes will be provided for the best entry.
Participants are also invited to submit abstracts for oral presentations. Fees and a preliminary programme are provided below.
Event
Date
Fee
Available places
Short course introduction to R for CEA modelling
Monday 8th July
£150
20
R for CEA workshop
Tuesday 9th July
£60
120
To register for this event, please go to: http://www.statistica.it/gianluca/teaching/r-hta-workshop/2019/
There is no registration deadline, but places are limited so it is recommended to register soon.
To submit an abstract, please send it to [log in to unmask]<mailto:[log in to unmask]> with the subject “R for CEA abstract”. The word limit is 300. Abstract submission deadline is 15th May and the scientific committee will make decisions on acceptance by 1st June 2019.
If you have any further queries please contact me on [log in to unmask]<mailto:[log in to unmask]>
Best wishes on behalf of our scientific committee.
Howard Thom<http://www.bristol.ac.uk/social-community-medicine/people/howard-h-thom/index.html>, University of Bristol
Gianluca Baio<http://www.statistica.it/gianluca/>, University College London
Anthony Hatswell<https://www.linkedin.com/in/anthonyhatswell/?originalSubdomain=uk>, Delta Hat Limited and University College London
Nathan Green<https://www.imperial.ac.uk/people/nathan.green>, Imperial College London
Iryna Schlackow<https://www.herc.ox.ac.uk/team/iryna-schlackow>, University of Oxford
Claire Williams<http://www.bristol.ac.uk/social-community-medicine/people/claire-williams/index.html>, University of Bristol
Pedro Saramago Goncalves<https://www.york.ac.uk/che/staff/research/pedro-saramago-goncalves/>, University of York
Padraig Dixon<http://www.bristol.ac.uk/social-community-medicine/people/padraig-c-dixon/overview.html>, University of Bristol.
Boby Mihaylova<https://www.ndph.ox.ac.uk/team/boby-mihaylova>, University of Oxford.
Nicky Welton<http://www.bristol.ac.uk/social-community-medicine/people/nicky-j-welton/index.html>, University of Bristol.
Dr Howard H.Z. Thom
Research Fellow in Statistical Modelling
Lecturer in Health Economics
Bristol Medical School: Population Health Sciences
University of Bristol
Canynge Hall
39 Whatley Road
BS8 2PS
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