Prof. Dr. Andreas Mayr

Research Interests

• Methodological Research
  • Statistical boosting algorithms
  • GAMLSS (generalized additive models for location, scale and shape)
  • Quantile regression, prediction inference and prediction intervals
  • Polygenic risk scores
  • Variable selection for high-dimensional data
• Applications 
  • Clinical Trials Unit: KKS Marburg
  • Paediatric and Perinatal Epidemiology
  • Eating disorders
  • Schizophrenia and depression
  • Postoperative delirium
  • Mendelian randomization
• Projects
  • DFG Project Tackling Challenges in Time-to-Event Analyses via  Boosting Distributional Copula Regression
  • DFG Project Boosting polygenic risk scores via distributional regression to uncover potential gene-environment interactions
  • DFG Project Boosting copulas – multivariate distributional regression for digital medicine

Most Recent Publications

• Costa R, de Sousa B, Kneib T, Martins R, Mayr A (2026): Methodological guidance on clinical prediction models in mental health research. Psychological Medicine. 2026; 56: e190. 
• Kunwar K, Wu Q, Klinkhammer H, Staerk C, Mayr A and Maj C (2026): Polygenic modeling of genetic effects on both phenotypic mean and variance: Distributional regression for BMI, blood and urine biomarkers in the UK Biobank, Frontiers in Bioinformatics 6, 1800403.
• Wu Q, Klinkhammer H, Kunwar K, Staerk C, Maj C and Mayr A (2026): Detecting gene–environment interactions to guide personalized intervention: Boosting distributional regression for polygenic scores, Proceedings of the National Academy of Sciences U.S.A. 123 (14) e2529164123.
• Fohler L, Latifi E, Mayr A, Maj C, Staerk C, Klinkhammer H, Krawitz P (2026): Investigations on transferability of polygenic risk scores depending on demography and dominance coefficients, Human Genetics and Genomics Advances, 2026, 100595, ISSN 2666-2477.
• Rigby R A, Stasinopoulos M D, Zeileis A, Stanojevic S, Heller G, Bastiani F, Kneib T, Mayr A, Stauffer R, Umlauf N (2025). Letter to the editor refuting “Debunking the GAMLSS myth: Simplicity reigns in pulmonary function diagnostics”, Respiratory Medicine (2025), 108557, ISSN 0954-6111.
• Strömer A, Klein N, Van Keilegom I, Mayr A (2025). Modelling dependent censoring in time-to-event data using boosting copula regression. Lifetime Data Analysis (2025).
• Strömer A, Klein N, Staerk C, Faschingbauer F, Klinkhammer H and Mayr A (2025). Enhanced variable selection for boosting sparser and less complex models in distributional copula regression.  Statistics in Bioscience 2025: 1-23.
• Daub A, Mayr A, Zhang B, Bergherr E. A balanced statistical boosting approach for GAMLSS via new step lengths. Computational Statistics (2025).
• Schmidt R, Schewe D, Herpertz S, Zipfel S, Tuschen-Caffier B, Friederich H.C, Mayr A, Zwaan M, Hilbert A (2025). Mechanisms of Change in Cognitive-Behavioral Therapy for Adults With Binge-Eating Disorder: A Dynamic Structural Equation Modeling Approach. International Journal of Eating Disorders. 58, no. 9: 1701–1709..
• Briseno Sanchez G, Klein N, Klinkhammer H and Mayr A (2025): Boosting Distributional Copula Regression for Bivariate Binary, Discrete and Mixed Responses. Statistical Methods for Medical Research. 2025;34(5):887-902. 
• Klinkhammer H, Staerk C, Maj C, Krawitz P and Mayr A (2024). Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions. Statistics in Medicine. 43 (28), 5412-5430.
• Staerk C, Klinkhammer H, Wistuba T, Maj C and Mayr A (2024): Generalizability of polygenic prediction models: how is the R² defined on test data? BMC Medical Genomics. 17(1): 132.
• Stasinopoulos M, Kneib T, Klein N, Mayr A and Heller G Z (2024): Generalized Additive Models for Location, Scale and Shape: A Distributional Regression Approach, with Applications. Cambridge University Print. 56.

Short CV

• 2024 – present: Professor for Medical Biometry and Biostatistics, Philipps-University Marburg, Head of Department for Medical Biometry and Statistics
• 2018-2024: 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 Friedrich-Alexander-Universtität Erlangen-Nürnberg, Head of WG Computational Biostatistical Modelling
• 2010-2013: Doctoral thesis at the Department of Medical Informatics, Biometry and Epidemiology at the Friedrich-Alexander-Universtität Erlangen-Nürnberg
• 2004-2010: Diploma in Statistics, Ludwig-Maximilians-Universität München

Editorial Activities

• Editor Statistical Modelling
• AE for International Journal of Biostatistics
• Member Editorial Board International Journal of Eating Disorders

University Commissions

• Ethics committee
• Habilitation committee

Profiles

orcid.org/0000-0001-7106-9732

Web of Science ResearcherID: IQR-8777-2023

Google Scholar profile

Publications, softwares and talks