Tim Morris
@timpmorris.bsky.social
2.3K followers 450 following 1.4K posts
Biostatistician working on methodology at Novartis. Simulation studies, non-inferiority, missing data, estimands, covariate adjustment… He/him https://tpmorris.substack.com/
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timpmorris.bsky.social
New (short) post on hearing criticism of your work.

No, I’m not telling you who it was – they will recognise themself!

open.substack.com/pub/tpmorris...
Reposted by Tim Morris
statsepi.bsky.social
My favorite genre of fiction is Thesis Acknowledgments.
timpmorris.bsky.social
Straight onto my reading list
statme-bot.bsky.social
Arman Oganisian: Untangling Sample and Population Level Estimands in Bayesian Causal Inference https://arxiv.org/abs/2508.15016 https://arxiv.org/pdf/2508.15016 https://arxiv.org/html/2508.15016
timpmorris.bsky.social
The defenders of British Values, having completed their work assaulting police officers, have returned home, leaving London a Dystopian Hellscape once again
The morning sun peeping around some horse chestnuts (non-native) and hornbeams (non-native)
timpmorris.bsky.social
Bonus marks for explaining why the quoted post appears to be wrong but the quoting post is in fact wrong.
timpmorris.bsky.social
Why does everyone who picks up the mic at this conference feel they have to mention this talk, whether grudgingly or positively??
timpmorris.bsky.social
Hahaha I enjoyed that! Yes, I agree on the sentence/s (these documents do not cite any references though, which always annoys people).
timpmorris.bsky.social
Very much agree with that last point. I think what you’re politely saying translates to “come back when you’ve read my 🤬 paper!”
timpmorris.bsky.social
The second sentence of your abstract!
timpmorris.bsky.social
Isn’t this like complaining that the bus to the airport fell short when it didn’t fly you to your destination? 😜

It’s gives us a useful (important) start but is not a grand-unifiying-all-singing-all-dancing solution!
timpmorris.bsky.social
I’m just a bit baffled about what you think this is “inferior to”. Writing an subsequent expression in terms of potential outcomes? If so, this should come from the natural-language version, not compete with it.
E.g. doi.org/10.1002/sim....
timpmorris.bsky.social
Inferior to what? For the Addendum, the whole point is to give a structured description of the estimand in natural-language.

This should *not* set the estimand in stone – we cannot just skip past identification, estimation, implementation &c. – though practice isn’t as good as the intention.
timpmorris.bsky.social
Yes, thanks. I disagree with your premise too as I disagree with Hernán’s grift: being able to say what trial you would like to do does not say what the estimand is, it’s something like “the estimand would be identified under this design”. But a causal estimand does not depend on study design!
timpmorris.bsky.social
Definitely. I guess lots of useful approaches gain this problem once popular (estimands for one). A superficial label accompanied by no-thinking.
timpmorris.bsky.social
Thanks Cameron!
Dean, two key points:
1. It’s the structure in this pic that we all find so useful.
2. The “Intercurrent event strategies” mean interplay with the other four attributes.
Screenshot of a slide.
Title: “Addendum contributions (‘IMO’)”
Left hand column says
“Five ‘attributes’
1. Treatment condition of interest
2. Target population
3. Outcome variable
4. Intercurrent events
5. Population-level summary
measure”
Right hand column says
“Handling intercurrent events (LHS point 4)
1. ‘Treatment policy’
2. ‘Hypothetical’
3. ‘Composite variable’
4. ‘While on treatment’
5. Principal stratum”
timpmorris.bsky.social
One more. In comparing “Trials” & “Target trials”, slide says something like “causal contrasts” vs. “observational analogs of contrasts”. Causal contrasts are of potential outcome distributions (see Hernán & Robins’ book), which do not depend on the study design – no “observational analog”!
timpmorris.bsky.social
The target trials concept is great; I’m not slamming that. But even the poster-child examples leave a lot ambiguous (partly because they seem to rely on readers being able to reverse-engineer estimands).
timpmorris.bsky.social
I’d say substance was largely absent. Most gripes were about minor semantic things. Seemed like sour grapes that the trials community didn’t think “real trials have target trials too” solved everything for them, and he wants them to turn back from this 🤷
timpmorris.bsky.social
Having to infer the estimand from the design + analysis was one of the things that led to the E9(R1) addendum in the first place!
Also that the “ITT effect [sic] is never relevant” thing, avoiding engaging with how you would realise a different intercurrent event strategy in practice.
timpmorris.bsky.social
I’ve heard about this second-hand but assumed it was a caricature.
He is claiming that describing a target trial protocol makes the estimand crystal clear, so there is no need for anything else. But if we actually did the target trial, we would have to infer the estimand from design + analysis!
timpmorris.bsky.social
Miguel Hernán is presenting at EFSPI and giving a frankly embarrassing rant about (addendum-style) estimands. While lots of people are constructively using it to complement causal inference, he is sticking to basic & straw-man gripes that are easily addressed by thinking or listening to others.
timpmorris.bsky.social
That’s it. I can see that power dynamics are a problem, and that’s probably why there’s a reluctance to challenge anything from PPI colleagues, but no challenge makes the whole activity… inauthentic, right?
timpmorris.bsky.social
Sorry to pick on this one sentence. I just thought the question “is it allowed to be negative about PPI” was a very interesting one.
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