Björn Holzhauer

@bjoernstats.bsky.social

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

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.

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...

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.