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@f2harrell.bsky.social how could one implement Bayesian imputation previously applied in model development? Report the posterior draws of each coefficient from imputation models?
Forgot to mention the biggest shortcoming: not having the outcome available
Problem with MI is when one does not have the dev/validation data available when deploying the model, which is not uncommon
What method would you use if planning to deploy a CPM allowing for missing data for the end-user?
Similar arguments by Riley and Martin in the preprint I mentioned
but doesnβt frequentist single regression imputation also perform better if Y is omitted?
I believe they will discuss this enlightening paper: arxiv.org/abs/2504.06799
in which they recommend single regression imputation when ones plan to apply a CPM and wants to allow for missing data at deployment.
What would be the advantage of Bayes in this case?
A "Mr. McMahon reaction meme" where McMahon shows increasing levels of amazement/excitement, with levels "I^2", "tau^2", and "prediction interval", and "predictive distribution".
Great talk. In CPMs using LASSO, would you recommend reporting the proportion of how often each predictor was selected by LASSO in bootstrap samples?
thanks! just did
informative prior for tau could help a bit
COULD EVERYONE PLEASE STOP USING RANDOM EFFECTS META-ANALYSIS WHEN COMBINING 3 OR 4 TRIALS? AND COULD REVIEWERS STOP DEMANDING IT?
Couldn't hold myself, had to fit a #Bayesian cumulative ordinal model to this interesting data:
Canadian intensivists and nephrologists don't seem to disagree much!
Always happy to share Brazilian music! THE best π§π·
this is one has been on hype lately in Brazil. His best bass line! youtu.be/tPp9zkjfj7Q?...
youtu.be/cxSzri346W0?... check the lyrics! love this one
Tough one. There is a famous clinical prediction model with such an outcome, if thatβs of any help: www.bmj.com/content/349/... by @benvancalster.bsky.social
Added a statistical analysis tab to explore Bayesian partial pooling visualization (cc @rmcelreath.bsky.social). Added some model explanations too.
Data viz heavily inspired by @benmoran.bsky.social's beautiful bayesfoRest package
Amazing work. I was particularly interested in visualizations for studies on dexmedetomidine for investigating dosage, timing, risk of bias.
Vibe-coded this app: arthur-albuquerque.github.io/dexmedetomid... Example visualization attached.
code: github.com/arthur-albuq...
I'd love some feedback
I will investigate the best approach and do it! thanks again
I meant for your βCreate symlinksβ section.
For Roo, I believe the reference directory for skills is
β’ ~/.roo/skills
This is so cool. Thank you!
Please add suport to Googleβs Antigravitiy, Positron Assistant and VScodeβs extension Roo Code.
These are more scientific-oriented softwares
@matthewluney.bsky.social et al really amazing work, congratulations.
Quick Q: you stated that "Moderate certainty evidence indicates that dexmedetomidine is effective". However, CINeMA showed low confidence rating for dexmedetomidine vs. placebo (Table S22).
Why did you reference it as "moderate"?
Important research question!
What do you think about multinomial-dirichlet? Itβs been implemented in brms
Isnβt this formula utility very limited?