Martin Modrák

@modrakm.bsky.social

Biostatistics/bioinformatics at Charles University, 2nd faculty of Medicine. Bayesian in practice, but not a fan of Bayesian epistemology. Main on fedi: https://bayes.club/@modrak_m Blog: https://martinmodrak.cz

I’ve been told for years that it’s legally and ethically impossible to share medical RCT data. In 2024, the BMJ made sharing anonymised data mandatory, and now lots* of folk do it. Interesting how the barriers evaporated like that, isn’t it? *not everyone, compliance problems exist.

Availability of clinical trial individual patient data in the BMJ before and after adoption of a stringent data-sharing policy, compared with recent rates at other major medical journals

Background In 2024, the BMJ updated its data-sharing policy for clinical trials, requiring open deposit of deidentified individual participant data (IPD) before publication. We considered whether data...

medrxiv.org

I'm interested in finding and potentially supporting people who are interested in doing long-form writing on the big efforts in global health: Gavi, Global Fund, PEPFAR, etc. If this is you or someone you know, please make yourself known!

We just updated the preprint (w @paulbuerkner.com) to address some reviewer feedback. Most notably we added a case study where the model space is huge (2^100) and sampled explicitly with JAGS Things still work, though aggregating the results to get something meaningful becomes important. 1/2

Martin Modrák@modrakm.bsky.social · 5mo ago

Preprint alert: Simulation-based validation of Bayes Factor computation with @paulbuerkner.com and S. Stroppel. We bring lessons learned in SBC to validation of BFs. arxiv.org/abs/2508.11814 The idea is simple: simulate data from the models, fit and see if the inferences are calibrated. 1/10

Imagine that in pre-publication peer review, the reliability of a 3-reviewer composite is .70. The journal accepts the top 10% of papers according to average review score. What is the reliability of the original reviewers in the subset of published papers? (Answer in alt text)

The reliability coefficient is -.77. No, the negative sign is not a typo.

Recent case, re-run of the authors' code failed on a first-stage regression, blocked code from completing. Hard to initially diagnose, because "qui do regression_55.do" shows no output... 🤦Back and forth with authors, they provide evidence that it works on their system. We send MWE to Stata support👇

“In particular, by using a multiverse, a bad actor needs not commit to a single model and thus can raise the perceived bar for criticism of their position. Including bad or wrong model is not a problem for them as they are just asking questions and isn’t that what science is truly about?”

Martin Modrák@modrakm.bsky.social · last mo.

Multiverse analysis, abdication of responsibility and manufacturing of doubt: I have written on some downsides I see with multiverse analysis (which I like in principle): arxiv.org/abs/2607.14623 I was inspired/provoked to write it by @dingdingpeng.the100.ci (thanks!)

Abstract: I argue that multiverse analysis is highly suited to two undesirable uses: abdication of researcher's responsibility for their conclusion and manufacturing of doubt. A review of multiverse analyses published in 2025 provides tentative empirical support that abdication of responsibility is present in the literature and I mention anecdotal evidence that multiverse has been used for manufacturing of doubt about Covid-19 precautions. To mitigate negative effects if multiverse analysis becomes widely used I suggest the community adopts two conventions for evaluating multiverse analyzes: evaluating multiverses by the single worst universe they contain and considering large size of a multiverse as a sign of weakness rather than a praiseworthy achievement.

#Statsky I need your help. If you have a consulting gig or been involved in building a (stat. modeling) consulting center, would you be willing to share your business model, sample contracts/terms/conditions, your approach to recruiting clients... esp. in an academic setting, I'd appreciate it!

Hey, folks. I'm looking for open access person-time datasets that represent a competing risks structure. I want to analyze these datasets and write about those analyses to help people understand competing risks analysis methods. Nearly all of the data sets I have used for this are closed source.