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Björn Holzhauer

@bjoernstats.bsky.social
126 followers 624 following 39 posts

Biostatistician that keeps geese, chess CM, Kaggle master, one of the authors of Applied Modelling in Drug Development opensource.nibr.com/bamdd

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Björn Holzhauer @bjoernstats.bsky.social · 18/09/2026
Observations on driving around 800 km (and back) with our electric estate (station wagon) for the summer holidays (mostly through France) The good: 1. Young kids need more breaks than the battery. 2. Charging time is about right for a food and playground break.
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Björn Holzhauer @bjoernstats.bsky.social · 30/08/2026
We’ve just added new materials to Applied Modelling in Drug Development, our collection of drug-development case studies exploring what you can do with the brms R package: opensource.nibr.com/bamdd
opensource.nibr.com
Applied Modelling in Drug Development
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Björn Holzhauer @bjoernstats.bsky.social · 29/08/2026
I was stunned when a colleague showed me stanli. One thing that regularly slows down my Bayesian work: waiting longer for C++ compilation than for the sampling when fitting a simple one-off brms/Stan model on a small dataset. github.com/seantalts/st...
github.com
GitHub - seantalts/stanli: stanli, the Stan Language Interpreter: op-graph executor over precompiled stan-math kernels. Compile and sample Stan models with no C++ toolchain.
stanli, the Stan Language Interpreter: op-graph executor over precompiled stan-math kernels. Compile and sample Stan models with no C++ toolchain. - seantalts/stanli
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Björn Holzhauer @bjoernstats.bsky.social · 28/08/2026
How much does covariate adjustment usually help in cardiovascular outcome trials (CVOTs)? On a bunch of past trials adjustment for existing risk scores/known prognostic factors did not have much of an effect. It’s great to see this work finally out. doi.org/10.1007/s434...
doi.org
Client Challenge
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Björn Holzhauer @bjoernstats.bsky.social · 01/12/2024
I just had my first top 1% finish (24/2639) in a Kaggle (tabular playground series) competition. Accuracy is such a noisy low information competition metric (even with 10,000s observations) that you have to be very careful to not overfit the out-of-fold observations of your cross-validation.
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Björn Holzhauer @bjoernstats.bsky.social · 26/11/2024
Without naming the company, this is disappointing. Company's webpage:"We are committed to disclosing the results of clinical trials on all applicable registries in accordance with applicable law." + "This clinical trial is now complete. When available, results will be posted on ClinicalTrials.gov."
Statement on a pharmaceutical company trial results page that trial results will be shared once available...
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Björn Holzhauer @bjoernstats.bsky.social · 26/11/2024
Is there something more clever than what the directlabels R package offers? The style of plot like in this hypothetical example (where geom_dl(method="smart.grid") worked well) is so useful. Yet, all too often it struggles to place labels well & I end up using geom_text manually.
Figure with three dose response color-coded curves for drugs labelled "Drug A" (black), "Drug B" (orange) and "Drug C" (blue) with labels directly next to the curves.
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