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Check out this recent paper!

Back from an incredible BIRS workshop at Casa Matemática Oaxaca. A weeklong dive into Bayes - ranging from nonparametrics to MCMC & causal inference birs.ca/events/2024/5-… Big thanks to Alejandra Avalos (Alejandra Avalos), Peter Mueller, Fan Bu (Fan Bu), & other organizers.

Looking forward to this symposium tomorrow! I’ll be talking about some Bayesian causal modeling for HIV.

Happy to have such great colleagues at Brown!

Check out our paper developing Bayesian methods for causal inference with incomplete outcome and covariates (all doable in Stan!): arxiv.org/abs/2410.22481… Recording of a talk on this at NYU's biostatistics symposium can be found here (4:04:20): tinyurl.com/n9wc5fav

Arman Oganisian Stan Brown University Brown University School of Public Health Brown Research Brown Biostatistics Wow! Ty! I have been using your causalBETA package for a manuscript in prep.

Check out this new paper by Brown Biostatistics PhD Candidate Esteban Fernández-Morales. He develops innovative Bayesian spatial shrinkage methods for causal inference with spillovers and uses it to assess the effect of Philadelphia's 2017 beverage tax. arxiv.org/abs/2501.08231

Software update: Dan Kowal was kind enough to include an implementation of our hierarchical Bayesian bootstrap in his SeBR R package (which also has other great regression tools!) - complete w/ help files and examples. drkowal.github.io/SeBR/reference… degruyter.com/document/doi/1…

Bayesian causal survival analysis has never been so easy! Check out Han Ji’s (Brown Biostatistics) paper & package, in press Observational Studies. Convenient syntax, S3 classes & methods, help files, & efficient MCMC via Stan. arxiv.org/pdf/2310.12358 github.com/RuBBiT-hj/caus…

I’ll be talking about this paper on Bayesian causal inference w/ recurrent events @ #ENAR2025. Come check out our session! Session 50. It’s All Aabout the Estimand: Asking the Right Questions to Best Inform Health Policy Decisions March 24: 1:45-3:30pm; at Oakley, floor 4

Slides for this talk are posted on my site! stablemarkets.netlify.app/talk/bayesian-…

Hot off the press from our The National Institute on Aging (NIA) osteoporosis R01: we created a multinational database of older adults in the US and Canada and found extreme shifts in which osteoporosis medications were used over the past decades. Notice anything interesting? tinyurl.com/2762bb6c

New paper here w/ Tony Linero on Bayesian causal inference: Independent priors on propensity score & outcome models often imply a strong prior on no *measured* confounding - a prior belief that 1) we rarely hold and 2) leads to bad frequentist performance tinyurl.com/2udmbf6a

Congratulations to the students, staff & faculty honored Wednesday at the #BrownSPH 2025 Dean's Awards Ceremony!🏅 “You remind us that in moments of uncertainty,” Dean Ashish K. Jha, MD, MPH said, “the mission of our school becomes not just relevant, but essential.” sph.brown.edu/news/2025-04-1…

I’m teaching a 3-hour session on Bayesian causal inference at Penn Causal Inference Summer Institute, 5/27-5/30. Virtual attendance options are available. There are sessions on many other really cool topics as well -check out the agenda: dbei.med.upenn.edu/news-events/20…

StanBio Connect 2025: Advancing Biomedical Research with Stan This event is streaming live tomorrow and I’ll be speaking about some work on Bayesian causal inference with survival outcomes. stanbio.org

Streaming live now on YouTube: youtube.com/watch?v=HbZ1k7… Andrew Gelman is talking about Andrew Gelman et al. is talking about "Taking Our Models Seriously"