170 citations · 433 across the 10 of their papers we have counts for
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stat.CO2023★ 6 cited
Improving Software Engineering in Biostatistics: Challenges and Opportunities
Daniel Sabanés Bové, Heidi Seibold, Anne-Laure Boulesteix +9
Programming is ubiquitous in applied biostatistics; adopting software engineering skills will help biostatisticians do a better job. To explain this, we start by highlighting key c…
stat.CO2016★ 30 cited
Generalised Linear Model Trees with Global Additive Effects
Heidi Seibold, Torsten Hothorn, Achim Zeileis
Model-based trees are used to find subgroups in data which differ with respect to model parameters. In some applications it is natural to keep some parameters fixed globally for al…