
Center for Medical Data Science (Institute of Medical Statistics)
Position: Associate Professor
T +43 1 40400 74920
Florian.Frommlet@meduniwien.ac.at
Keywords
Biostatistics; Genetics; Models, Statistical
Research interests
My research interests include statistical applications in genetics and molecular biology (Genome-wide association studies, QTL mapping, etc.), Multiple testing and model selection (both theory and application, high-dimensional data, in particular under sparsity assumptions, frequentist and Bayesian approaches, Nonlinear Bayesian modeling, development of new model selection criteria), Optimization problems occurring in statistics (genetic algorithms , mixed integer problems). More recently I have put more emphasis on questions of study design and reproducibility in animal trials.
Grants
- Quality control measures for biomedical animal studies (2023)
Source of Funding: City of Vienna, Bürgermeisterfond
Principal Investigator - CRoNoS - Computationally-intensive methods for the robust analysis of non-standard data (participant) (2014)
Source of Funding: EU, ICT COST Action
Principal Investigator - Optimal Selection Procedures in Genome Wide Association Studies (2009)
Source of Funding: WWTF (Vienna Science and Technology Fund), Call Mathematic and ... 2009
Principal Investigator - Statistical issues in data mining (2009)
Source of Funding: OeAD (Agency for Education and Internationalisation),
Principal Investigator
Selected publications
- Frommlet, F. (2023) ‘A neutral comparison of algorithms to minimize L0 penalties for high‐dimensional variable selection’, Biometrical Journal, 66(1). Available at: https://doi.org/10.1002/bimj.202200207.
- Frommlet, F. & Heinze, G., 2020. Experimental replications in animal trials. Laboratory Animals, p.002367722090761. Available at: http://dx.doi.org/10.1177/0023677220907617.
- Hubin, A., Storvik, G. and Frommlet, F. (2021) ‘Flexible Bayesian Nonlinear Model Configuration’, Journal of Artificial Intelligence Research, 72, pp. 901–942. Available at: https://doi.org/10.1613/jair.1.13047.
- Grüninger, S.L. and Frommlet, F. (2024) ‘Half the price, twice the gain: How to simultaneously decrease animal numbers and increase precision with good experimental design’, Laboratory Animals, 58(5), pp. 411–418. Available at: https://doi.org/10.1177/00236772241260905.
- Bogdan, M. et al., 2011. Asymptotic Bayes-optimality under sparsity of some multiple testing procedures. The Annals of Statistics, 39(3), pp.1551–1579. Available at: http://dx.doi.org/10.1214/10-AOS869.