Andreas Mayr

Professor

University of Bonn

Germany

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Andreas Mayr is a Professor at the University of Bonn, Germany. His research areas include cognitive-behavioral therapy, statistical modeling in healthcare, and perioperative risk education. His recent publications focus on advanced methodologies in regression analysis, genetic prediction modeling, and therapeutic interventions for conditions such as binge-eating disorder and postoperative delirium.

Articles (19)

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2025

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2023

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2023

Collaborators (12)

Valentin Sebastian Schäfer

GERMANY

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Maria Wittmann

University Hospital

GERMANY

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Stefan Felix Ehrentraut

University Hospital Bonn

GERMANY

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Simon Michael Petzinna

University Hospital Bonn

GERMANY

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Markus Velten

University Hospital Bonn

GERMANY

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Nadja Klein

Technische Universität Dortmund

GERMANY

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Paula Castilho

Associate Professor

University of Coimbra

PORTUGAL

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Elisabeth Bergherr

Professor for spatial datascience and statistical learning

Georg-August-Universität Göttingen Geowissenschaftliches Zentrum

GERMANY

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Lara Palmeira

Professora Auxiliar

Universidade Portucalense Infante Dom Henrique

PORTUGAL

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Florian Recker

University Hospital Bonn

GERMANY

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Christian Stoppe

GERMANY

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Andrea Kunsorg (maiden name Kirfel)

University Hospital Bonn

GERMANY

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Andreas Mayr

Research Interests

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Articles (19)

Improved Perioperative Risk Education Through the Use of an Interactive Online Anaesthesia Education Tool (iPREDICT): A Prospective, Randomised Controlled Single-Centre Clinical Trial

Enhanced Variable Selection for Boosting Sparser and Less Complex Models in Distributional Copula Regression

Boosting distributional copula regression for bivariate binary, discrete and mixed responses

Mechanisms of Change in Cognitive‐Behavioral Therapy for Adults With Binge‐Eating Disorder: A Dynamic Structural Equation Modeling Approach

International consensus recommendations for the RAPID procedure in liver transplantation

Online Compassion Focused Therapy for overeating: Feasibility and acceptability pilot study

Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions

Cerebral Overperfusion Despite Reduced Cortical Metabolism Is Associated with Postoperative Delirium in Cardiac Surgery Patients: A Prospective Observational Study

Generalizability of polygenic prediction models: how is the R2 defined on test data?

Robust gradient boosting for generalized additive models for location, scale and shape

Lung Ultrasound in Predicting Outcomes in Patients with COVID-19 Treated with Extracorporeal Membrane Oxygenation

Effects of Omega-3 Fatty Acids on Postoperative Inflammatory Response: A Systematic Review and Meta-Analysis

Cerebroplacental versus Umbilicocerebral Ratio—Analyzing the Predictive Value Regarding Adverse Perinatal Outcomes in Low- and High-Risk Fetuses at Term

Boosting multivariate structured additive distributional regression models

Boosting multivariate structured additive distributional regression models

Occurrence of Postoperative Delirium and the Use of Different Assessment Tools

Occurrence of Postoperative Delirium and the Use of Different Assessment Tools

Variable Selection and Allocation in Joint Models via Gradient Boosting Techniques

Clinically relevant combined effect of polygenic background, rare pathogenic germline variants, and family history on colorectal cancer incidence

Collaborators (12)

Valentin Sebastian Schäfer

Maria Wittmann

Stefan Felix Ehrentraut

Simon Michael Petzinna

Markus Velten

Nadja Klein

Paula Castilho

Elisabeth Bergherr

Lara Palmeira

Florian Recker

Christian Stoppe

Andrea Kunsorg (maiden name Kirfel)

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