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Posts by Arthur Albuquerque

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Risk of Guillain–Barré Syndrome after Laboratory-Confirmed Dengue Infection | NEJM In a Brazilian self-controlled case series of 5055 hospitalizations for Guillain–Barré syndrome, laboratory-confirmed dengue was associated with an increased risk of Guillain–Barré syndrome occurri...

www.nejm.org/doi/full/10....
Sharing my last paper. It was an attempt to quantify /proof something suspected for a long time. Dengue can trigger Guillain-Barré syndrome (we have case reports from 1998).
1/n
#episky

5 days ago 7 3 1 0

Partial pooling would help

5 days ago 0 0 0 0

acute PE

5 days ago 0 0 1 0

How is the data regarding bleeding?

6 days ago 1 0 1 0

Congrats! Well deserved

6 days ago 2 0 1 0

My interpretation is: money was spent and more data is needed! @f2harrell.bsky.social

6 days ago 1 0 1 0

Oh, is that version different from the one you had in bookdown?

6 days ago 1 0 1 0

yes but I would still buy the book. Amazing team also deserves the compensation

1 week ago 1 0 1 0

Trackdown package?

2 weeks ago 1 0 1 0
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A Visit with Stephen Senn: Time, Concurrent Controls, and the Bayesian Guidance
A Visit with Stephen Senn: Time, Concurrent Controls, and the Bayesian Guidance YouTube video by Berry Consultants

I am grateful to Scott Berry for inviting me onto his podcast
55: A Visit with Stephen Senn: Time, Concurrent Controls, and the Bayesian Guidance
www.youtube.com/watch?v=Tnb0...

3 weeks ago 11 3 0 0

ORBITA’s trials basically want to know if PCI reduces angina

3 weeks ago 0 0 1 0

I guess only overestimating would be a big problem here

3 weeks ago 0 0 1 0

but yes, a prior predictive check is mandatory to fully interpret this complex model @f2harrell.bsky.social

3 weeks ago 2 0 0 0

Loved their estimand “difference in angina-free days”, very convincing

3 weeks ago 2 0 2 0
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3 weeks ago 2 0 0 0

Nice example to explore type M and S errors

If we assume true effect is HR = 0.7:
- 11% chance that the estimate is in the wrong direction
- Magnitude of the effect is exaggerated by a factor of 5.2

If HR = 0.5
- S-type error= 1.5%
- M-type= exaggerated by a factor of 2.8

code: shorturl.at/Ba8nG

3 weeks ago 3 1 2 0
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Experimenting with a Bayesian Partial Proportional Odds Model Imagine we have data from a RCT comparing two strategies (experimental = PCT and control = UC). These strategies aid physicians to decide whether a patient needs treatment with antibiotics or not. We ...

discourse.datamethods.org/t/experiment... @schwenkej.bsky.social

3 weeks ago 5 1 1 0
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3 weeks ago 1 0 0 0

@solomonkurz.bsky.social you might like too

3 weeks ago 1 0 0 0
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I don’t have access to IPD. I simulated some deaths and coded it as “29”. Then fitted a Bayesian constrained partial proportial odds model in Stan to separately estimate an OR for Y == 0, another for Y == 29 and a third for Y > 0 & < 29. Not bad!! Interesting estimands too @f2harrell.bsky.social

3 weeks ago 3 0 3 0
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Procalcitonin testing combined with NEWS2 evaluation compared with usual care based on NEWS2 for identification of sepsis and antibiotic initiation in the emergency department in England and Wales (PR... Making a procalcitonin-guided algorithm available to clinicians in emergency departments did not change intravenous antibiotic initiation at 3 h in patients managed as suspected sepsis, but a decrease...

www.thelancet.com/journals/lan...

3 weeks ago 1 0 1 0

0 -> docs judged these patients didn’t have infection

0-3 -> docs initially though pt had infection, but changed their mind

3-6 -> probably had infection and improved quickly

7 -> most common suggested duration for antibiotics

>7 -> hard to treat infections or wasn’t getting better

3 weeks ago 1 0 1 0
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Very interesting distributions from a RCT of antibiotic. Bimodal peaking at 0 and ~7, while also truncated at 0

What distribution would fit this best?

3 weeks ago 8 2 2 0

Can’t thank you enough. Open-source teaching at its best

4 weeks ago 3 0 0 0

Have you tried Claude Code extension within VSCode/Positron? It’s pretty good

1 month ago 3 1 1 0

@pwgtennant.bsky.social

1 month ago 1 0 0 0
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%%title%% %%sep%% Maastricht University Press Open Access book by Luc Smits, Sander van Kuijk, and Laure Wynants: This open-access textbook offers a practical and comprehensive guide to developing, validating, and implementing clinical prediction...

✨ New open-access book✨
I’ve seen how powerful prediction models can be, but also how often they fall short. We wrote a book, covering not just development, but also when models are needed, and how to ensure real-world impact.
www.maastrichtuniversitypress.nl/cpm

1 month ago 27 14 3 0
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Clarifying the SOFA-2 Score To the Editor Nearly 3 decades after the release of the original version SOFA-1, which was designed to provide a straightforward method for assessing organ dysfunction in critically ill patients, we r...

@gscollins.bsky.social could you please send me a screenshot of your letter? thanks jamanetwork.com/journals/jam...

1 month ago 0 0 0 0

half-normal(0.5)

1 month ago 0 0 0 0

Here you go bsky.app/profile/rbly...

hbiostat.org/rmsc/genreg#...

1 month ago 5 1 0 0