With [Andrea Gabrio](https://sites.google.com/site/agabriostats/), [Alexina Mason](https://www.lshtm.ac.uk/aboutus/people/mason.alexina), [Rachael Hunter](https://iris.ucl.ac.uk/iris/browse/profile?upi=RMHUN48) and Xiaoxiao Ling
With Katrin Haeussler, [Ardo van den Hout](https://www.ucl.ac.uk/statistics/people/ardovandenhout), [Giampiero Favato](http://www.kingston.ac.uk/staff/profile/professor-giampiero-favato-121/), [Francesco S Mennini](http://www.ceistorvergata.it/area.asp?a=542&oc=921&d=1292) and Alessandro Capone
This is, as usual, a long-time coming and very delayed (you can guess where the hold up was — with me, in case you couldn’t…), but: I finally managed to update the R-HTA website to include a very interesting piece of work that Robert Smith and Paul Schneider from University of Sheffield have done. Rob and Paul have written a tutorial paper on how to implement a full Markov model for economic evaluation using R and in particular R-Shiny.
Although the world is very complicated right now, we’re still planning ahead for the next academic year — particularly for the new cohort of HEDS. We are setting up a Virtual Open Data on the 25 June at 1pm BST. Interested potential candidates will have an opportunity of chatting with our staff and current students to learn more about our programme and find out what it’s like to study at UCL (spoiler alert: it’s awesome — though I would say that, wouldn’t I?
I’ve been trying to put this off for as long as I possibly could, because I didn’t really want to surrender… BUT: It’s come to the time when I need to accept defeat and that this year we won’t be able to have our summer school in Florence. Hopefully, by July things will have improved massively (with regards to everything — not simply for non-essential travel!), but it’s obvious right now that even if people could travel (which probably they won’t be able to), it would be too much of a hustle and it would take away from the normally very pleasant experience.
Andrea has just released a major update for missingHE (this is my own fork of the main project — but now available on CRAN too), the package we (well, mostly he!) have (has) developed to handle missing data in Bayesian models for cost-effectiveness analysis.
Additions to the basic structure of the package include multilevel models and new plotting facilities, revolving around posterior predictive checks, which are of course very helpful when assessing the performance of models with missing data.
THis is the second video I was mentioning here — took a while to get out but it’s available now. I think you need to register here and then you can see our panel discussion. Like I said earlier, it was good fun and I think the actual session we did at ISPOR last year was, I think, very well received and it’s a shame that we can’t build on the momentum in the next R-HTA (which, I think, we’re going to have to postpone, given the COVID-19 emergency…).