Sharing our new paper + R package: The Decision Uncertainty Toolkit!
We engaged with decision makers and modellers (math + econ) to build a toolkit that can be used to make model results and uncertainty clear, consistent, and decision-ready.
Paper bit.ly/_DUT
R package ihe.ca/dut/
Canada’s HTA system blends provincial autonomy with national coordination. CDA-AMC’s evolving role and the pan-Canadian Pharmaceutical Alliance are reshaping drug access and pricing. Future reforms, including national Pharmacare and global collaboration, promise more efficient and patient access.
I've created a #healtheconomics starter pack! There's a few other great packs out there but in this one I've tried to make it more international! 🌎
Let me know if you'd like to be added or if you have recommendations.
And feel free to share!
go.bsky.app/8Lj8FLB
Screenshot from Zoom viva exam
Really happy to share that I passed my PhD in Feb 2024. I'm so grateful to my supervisors Matt Sutton, Rachel Meacock, and Jeff Round for all they did to make it such a positive experience for me. Here's the viva screenshot with Laura Anselmi and Luigi Siciliani!
I like pubmed.ncbi.nlm.nih.gov/29421472/ - the key point being that relaxing constraints (like bandwidth limitations) could improve the cost-effectiveness of other interventions that are being provided.
🚨PhD opportunity🚨: Join me at SUPSI for an exciting
SNSF-funded project looking at welfare & equity at the intersection of primary care, emergency care, and health insurance choices. The project involves collaborations with: Uni of Manchester, CSS Institute & EOC. Deadline: 29/02/2024, Details ⬇
this time I got "your poster does not fit the printing dimensions you requested"... anyways, see you at SMDM!
The Health Economics Feed seems to be working. There just is not much activity (yet!). What you can do:
1) Subscribe: bsky.app/profile/did:...
2) Mention 'health economics' or '#healthecon' in a post if you want it to show up in the feed.
3) Share the feed with all your health econ colleagues.
Warning messages:
1: glm.fit: algorithm did not converge
2: glm.fit: fitted probabilities numerically 0 or 1 occurred