A new workshop is being held 25th April 2018, University of Liverpool London Campus, London, UK.
Please note that this workshop is now fully booked.
Structure of the workshop
- Introduction to classical joint models of time-to-event and longitudinal data
- Extension I: competing risks data
- Extension II: multivariate longitudinal data
- Clinical Applications
- Extension III: meta-analyses
- Extension IV: dynamic prediction
- Hands-on practical session in R
How to register
Places can be reserved using the EventBrite platform. Please note that this workshop is now fully booked.
- The workshop will take place in Seminar Room 9 (2nd floor) at the University of Liverpool in London, 33 Finsbury Square, London, EC2A 1AG. This is right in the heart of London’s professional and business communities and within easy reach of Moorgate and Liverpool Street underground stations as shown on the Liverpool University Map.
- Travel information can be found here.
- The workshop is free and funded by a Medical Research Council (MRC) grant.
- If you are planning to drive, please note that on-site parking is not available, but paid parking may be available close by.
- The workshop will run 10:30 to 16:30 (registration at 10:30 to 11:00). Please ensure you have arrived in time to avoid delays in registering and starting.
- If you have any further questions, please contact the workshop coordinator: Graeme Hickey.
What will I need on the day?
- Bring your own laptop. Power sockets will be available to plug your chargers into.
- We will provide printed copies of the slides and practical sheets on the day. However, you might find it useful to have PDF copies on your laptops.
- Installed versions of R 3.4.0 (or above) and the following R packages:
- joineR (>=1.2.2)
- joineRML (>=0.4.0)
- joineRmeta (note: this is a beta-version of a forthcoming R package, with installation details provided here
- If you need to obtain a copy of R (which is free), please download from the CRAN website. To install R packages from CRAN, run (for example) the following command: install.packages("joineRML"), from any R console.
- A basic knowledge of R is preferable, though not essential. If you are not familiar with R, please send me an email in advance.
- You may require WiFi on the day (e.g. for downloading additional R packages). If you do not have an eduroam or University of Liverpool account, you can gain guest access to the WiFi network by following the instructions here.
Material will be available to download on 23rd April.
Do I need to study anything in advance?
- You might want to consider reading the following papers, but this is not essential, as we will cover the core theory in the workshop.
- You can download a copy of the papers by clicking on the URLs.
- A cold lunch will served 13:00 to 13:45 to allow for networking. If you have any special dietary requirements please can you send me an email no later than April 16th.
- If you have any disabilities that you would like us to try to accommodate, please can you send me an email as soon as possible.
If you need to cancel for any reason, please can you let us know as soon as possible so that your place can be offered to another guest.
6th September 2017, Alberta Health Services & Mathematics and Statistics, University of Calgary, Canada.
5th July 2017, Post-conference workshop, SAM 2017 conference, Liverpool UK.
Pre-conference course, RSS 2013 International Conference: 2-5 September, Newcastle UK.
13 September 2012, Liverpool, UK.
For a target audience of statisticians from Clinical Trials Units, and Clinical PI’s from NHS Trusts and Clinical Trials Units.
31 March 2010, Young Statisticians Meeting (YSM)
YSM is specifically designed for career young statisticians. The JoineR workshop offered them an excellent opportunity to discover a novel statistical topic currently being researched.
Four one-day training workshops were run in Liverpool, Manchester and London.
- 15th May 2009 (MRC, London, UK)
- 5th June 2009 (Foresight Centre, Liverpool, UK)
- 10th June 2009 (Conference Centre, Manchester, UK)
- 12th June 2009 (MRC, London, UK)
The workshops were extremely successful, and received very positive feedback. Most participants found the workshop very helpful for their current data analysis and for developing future protocols.
“I found it very interesting and insightful”
“It would be an enormous pleasure for me to participate in the workshop and very useful, because my PhD thesis is about joint models”
“I was impressed with what I saw at the workshop and I look forward to comparing what I can get from JoineR with the analyses results that we have to date”
“I was really quite impressed with the software.”