Tim Morris
timpmorris.bsky.social
Tim Morris
@timpmorris.bsky.social
Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment…
He/him
https://tpmorris.substack.com/
You just know people will interpret 0.89 hours as 1h29m. So I’d go defensive and use HH:MM
February 3, 2026 at 4:52 PM
😆 as a treat. Is there a limit on the number of treats we can reward ourselves with per paper?
February 3, 2026 at 11:50 AM
My 11 year old has jumped quickly to the “humour” stage of grief
January 25, 2026 at 6:33 AM
🫠
January 16, 2026 at 4:20 PM
Glad you spotted that small show of contempt (also comic sans)
January 16, 2026 at 1:30 PM
He did, just people didn’t seem to get the memo!
January 16, 2026 at 1:04 PM
All I really want is for people to stop with the personal-twists. Darren’s has topped the alternative-evidence-pyramids pyramid for like a decade now.
January 16, 2026 at 1:00 PM
Ha are you also thinking about reconstructing the data from Kaplan–Meier figures? I don’t imagine getting the numbers out would be different to any other plot, but presume you still need a package to do the Guyot method (like ipdfc in Stata) or whatever.
January 14, 2026 at 11:23 AM
I hadn’t thought about it… do you mean specifically for potential outcome simulation? Do say more.
January 9, 2026 at 4:01 PM
Cool!
January 9, 2026 at 2:20 PM
That post was written to get you interested and to read this preprint with Alex Ocampo, Enrico Giudice and Zachary McCaw on Gaussian quadrature – your best option if feasible (not always).
arxiv.org/abs/2601.05128
Revealing the Truth: Calculating True Values in Causal Inference Simulation Studies via Gaussian Quadrature
Simulation studies are used to understand the properties of statistical methods. A key luxury in many simulation studies is knowledge of the true value (i.e. the estimand) being targeted. With this or...
arxiv.org
January 9, 2026 at 1:44 PM
You might be interested in this paper by @andershuitfeldt.net, Robin?
ORs as a measure turn out to be disappointing.

arxiv.org/abs/2106.06316
Shall we count the living or the dead?
In the 1958 paper "Shall we count the living or the dead?", Mindel C. Sheps proposed a principled solution to the familiar problem of asymmetry of the relative risk. We provide causal models to clarif...
arxiv.org
January 9, 2026 at 8:16 AM