Glad to share our full paper on why deployed clinical prediction models should not discard predicted risks in favour of thresholds with @rexwp.bsky.social and @aidybarnett.bsky.social now up on @jclinepi.bsky.social. A brief explainer (1/4):
#statsky #rstats
authors.elsevier.com/a/1m1D83BcJQ...

At my work, we are often delivering on many projects with pretty short timelines. I still like to code in R and have a nice structure to my project, no matter it's size, so I've spent a bit of time streamlining how to get these projects started quickly. Here's my trick...

Liking the positive vibes of BlueSky so far but finding it tricky to find my 🇦🇺 stats peeps.

Thought I'd try a starter pack to help us find each other. Here's who I've found so far.

Let me know if you'd like to be added #StatsSky

go.bsky.app/QGgfiQV

New paper on falls risk prediction led by @rexwp.bsky.social. Predicting falls risk in hospital tends to be time-intensive for clinicians, so we wanted to see whether we could achieve similar predictive performance with routine EMR data. Using Cox models actually led to BETTER discrimination (1/2)

Since absolutely nobody asked for it, I went ahead and made a package for the MyHospitals API: rwparsons.github.io/readaihw/
Very keen to be responsive to feedback and build out features which users will find helpful so please give it a go and let me know what you would like to see!