Prof. Dr. Andreas Mayr (Dipl.-Stat.)
Venusberg-Campus 1, 53127 Bonn
1. Floor / Room 628 (Building 11)
Office: Doreen Hachenberger
Most Recent Publications
- Staerk C, Byrd A and Mayr A (2023): Recent methodological trends in Epidemiology: No need for data-driven variable selection? American Journal of Epidemiology. kwad193.
- Schäfer V S, Recker F, Kretschmer E, Putensen C, Ehrentraut S F, Staerk C, Fleckenstein T, Mayr A, Seibel A, Schewe JC and Petzinna S M (2023): Lung Ultrasound in Predicting Outcomes in Patients with COVID-19 Treated with Extracorporeal Membrane Oxygenation. 15(9): 1796.
- Speller J, Staerk C, Gude F and Mayr A (2023): Robust gradient boosting for generalized additive models for location, scale and shape. Advances in Data Analysis and Classifiaction. 1-20.
- Klau J H, Maj C, Klinkhammer H, Krawitz P M, Mayr A, Hillmer A M, Schumacher J and Heider D (2023): AI-based multi PRS models outperform classical single-PRS models. Frontiers in Genetics. 14: 1217860.
- Vagos P, Figueirede DV, Ganho-Avila A, Mayr A and Rijo D (2023): Remotely delivered cognitive therapy for social anxiety disorder in adolescence: Preliminary efficacy evidence based on changes throughout treatment. Frontiers in Psychology. doi: 10.3389/fpsyg.2022.915677.
- Stelzl P, Kehl S, Oppelt P, Mayr A, Fleckenstein T, Maul H, Enengl S, Berger R and Rath W (2023): Maintenance tocolysis, tocolysis in preterm premature repture of membranes and in cervical cerclage – a Germany-wide survey on the current practice after dissemination of the German guideline. Journal of Perinatal Medicine. https://doi.org/10.1515/jpm-2022-0572.
- Balestra C, Maj C, Müller E and Mayr A (2023): Redundancy-aware unsupervised ranking based on game theory: Ranking pathways in collections of gene sets. PloS one. https://doi.org/10.1371/journal.pone.0282699.
- Strömer A, Klein N, Staerk C, Klinkhammer H and Mayr A (2023): Boosting multivariate structured additive distributional regression models. Statistics in Medicine. arXiv preprint arXiv:2207.08470.
- Klinkhammer H, Staerk C, Maj C, Krawitz P M and Mayr A (2023): A statistical boosting framework for polygenic risk scores based on large-scale genotype data. Frontiers in Genetics. 13: 1076440.
- Methodological Research
- Statistical boosting algorithms
- GAMLSS (generalized additive models for location, scale and shape)
- Quantile regression, prediction inference and prediction intervals
- Polygenic risk scores
- Clinical Trials Unit: SZB
- Paediatric and Perinatal Epidemiology
- Eating disorders
- Schizophrenia and depression
- Postoperative delirium
- Mendelian randomization
- DFG Project (Boosting copulas – multivariate distributional regression for digital medicine)
- COST CA18138 Research Innovation and Sustainable Pan-European Network in Peripartum Depression Disorder
- AMBORA Trial: Pharmacological/Pharmaceutical care during treatment with new oral anticancer agents
- PROPDESC Study: Prediction of postoperative delirium by appropriate screening
- 2018-pres. Professor for Epidemiology at the University Bonn, head of WG Statistial Methods in Epidemiology
- 2017-2018 Interim Professor for Applied Stochastics at the Department of Statistics, Ludwig-Maximilians-Universität München
- 2013-2017 Post-doctoral Researcher at the FAU Erlangen-Nürnberg, head of WG Computational Biostatistical Modelling
- 2010-2013 Doctoral thesis at the Dept. of Medical Informatics, Biometry and Epidemiology at the Friedrich-Alexander-Universtität Erlangen-Nürnberg
- 2004-2010 Diploma in Statistics, Ludwig-Maximilians-Universität München
- Editor Statistical Modelling
- AE for International Journal of Biostatistics
- Member Editorial Board International Journal of Eating Disorders