A. Mayr

Sven Kehl, Matthias W Beckmann, Andreas Mayr, 2016, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

gamboostLSS: An R Package for Model Building and Variable Selection in the GAMLSS Framework

Benjamin Hofner, Matthias Schmid, Andreas Mayr, 2014, 1407.1774.

Model-based boosting in R: a hands-on tutorial using the R package mboost

Benjamin Hofner, Matthias Schmid, Nikolay Robinzonov, 2012, Computational Statistics.

Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts

Christian Staerk, Andreas Mayr, Tobias Wistuba, 2021, Scientific Reports.

Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates

Bernd Bischl, Benjamin Hofner, Matthias Schmid, 2018, Stat. Comput..

Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso

Matthias Schmid, Olaf Gefeller, Elisabeth Waldmann, 2016, Methods of Information in Medicine.

Boosting the Concordance Index for Survival Data – A Unified Framework To Derive and Evaluate Biomarker Combinations

Matthias Schmid, Andreas Mayr, M. Schmid, 2013, PloS one.

Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources

Andreas Mayr, Tobias Hepp, Manfred Rauh, 2020, BMC Bioinform..

Lack of evidence for effects of lockdowns on stillbirth rates during the SARS-CoV-2 pandemic in Bavaria: analysis of the Bavarian perinatal survey from 2010 to 2020

A. Hein, A. Mayr, Michael O. Schneider, 2022, Archives of Gynecology and Obstetrics.

Limited Effects of SARS-CoV-2 Pandemic-related Lockdowns and Reduced Population Mobility on Preterm Birth Rates: A Secondary Analysis of Bavarian Obstetric Quality Parameters from 2010 to 2020

A. Hein, A. Mayr, F. Faschingbauer, 2022, Geburtshilfe und Frauenheilkunde.

A New Formula for Optimized Weight Estimation in Extreme Fetal Macrosomia (≥ 4500 g)

R. Schild, A. Mayr, J. Siemer, 2012, Ultraschall in der Medizin.

A statistical boosting framework for polygenic risk scores based on large-scale genotype data

P. Krawitz, A. Mayr, Hannah Klinkhammer, 2023, Frontiers in Genetics.

Deselection of base-learners for statistical boosting—with an application to distributional regression

N. Klein, A. Mayr, C. Staerk, 2021, Statistical methods in medical research.

Boosting for statistical modelling-A non-technical introduction

Benjamin Hofner, Andreas Mayr, A. Mayr, 2018 .

Correlation of short-term variation and Doppler parameters with adverse perinatal outcome in small-for-gestational age fetuses at term

M. Beckmann, R. Schild, A. Mayr, 2019, Archives of Gynecology and Obstetrics.

Amniotic-Umbilical-to-Cerebral Ratio – A Novel Ratio Combining Doppler Parameters and Amniotic Fluid Volume to Predict Adverse Perinatal Outcome in SGA Fetuses At Term

M. Beckmann, A. Mayr, F. Faschingbauer, 2020, Ultraschall in der Medizin - European Journal of Ultrasound.

GAMLSS for high-dimensional data – a flexible approach based on boosting

Benjamin Hofner, Matthias Schmid, Thomas Kneib, 2010 .

The betaboost package-a software tool for modelling bounded outcome variables in potentially high-dimensional epidemiological data.

Andreas Mayr, Benjamin Hofner, Matthias Schmid, 2018, International journal of epidemiology.

Longitudinal Assessment of Examiner Experience and the Accuracy of Sonographic Fetal Weight Estimation at Term

R. Schild, A. Mayr, F. Faschingbauer, 2017, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

Intrapartum sonographic weight estimation

R. Schild, A. Mayr, F. Faschingbauer, 2015, Archives of Gynecology and Obstetrics.

An Update on Statistical Boosting in Biomedicine

Benjamin Hofner, Tobias Hepp, Olaf Gefeller, 2017, Comput. Math. Methods Medicine.

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

M. Schmid, A. Mayr, B. Hofner, 2016, BMC Bioinformatics.

Longitudinal z Score Distribution in Sonographic Fetal Biometry: Influence of Examiner and Experience

R. Schild, A. Mayr, F. Faschingbauer, 2017, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

A New Sonographic Weight Estimation Formula for Fetuses with Congenital Diaphragmatic Hernia

R. Schild, A. Mayr, U. Gembruch, 2014, Ultraschall in der Medizin.

Extending Statistical Boosting

H. Binder, O. Gefeller, M. Schmid, 2014, Methods of Information in Medicine.

Increasing the discovery power of -omics studies

Hinrich W. H. Göhlmann, Willem Talloen, Andreas Mayr, 2013 .

Signal regression models for location, scale and shape with an application to stock returns

Sarah Brockhaus, Sonja Greven, Andreas Fuest, 2016, 1605.04281.

Extension of the Gradient Boosting Algorithm for Joint Modeling of Longitudinal and Time-to-Event data

E. Waldmann, A. Mayr, C. Griesbach, 2018, 1810.10239.

Boosting joint models for longitudinal and time‐to‐event data

Matthias Schmid, Thomas Kneib, Andreas Mayr, 2016, Biometrical journal. Biometrische Zeitschrift.

Boosting distributional copula regression

N. Klein, A. Mayr, F. Faschingbauer, 2022, Biometrics.

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

A. Mayr, C. Staerk, Francisco Gude, 2023, Advances in Data Analysis and Classification.

Variable Selection and Allocation in Joint Models via Gradient Boosting Techniques

A. Mayr, C. Griesbach, Elisabeth Bergherr, 2023, Mathematics.

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

Matthias Schmid, Andreas Mayr, Tobias Hepp, 2019, The international journal of biostatistics.

A permutation test to analyse systematic bias and random measurement errors of medical devices via boosting location and scale models

Matthias Schmid, Andreas Mayr, Annette Pfahlberg, 2017, Statistical methods in medical research.

Significance Tests for Boosted Location and Scale Models with Linear Base-Learners

M. Schmid, A. Mayr, Tobias Hepp, 2019, The International Journal of Biostatistics.

Boosting distributional copula regression

N. Klein, A. Mayr, F. Faschingbauer, 2022, Biometrics.

Linear or smooth? Enhanced model choice in boosting via deselection of base-learners

F. Gudé, A. Mayr, B. Hofner, 2023, Statistical Modelling.

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection

Benjamin Hofner, Matthias Schmid, Andreas Mayr, 2016, BMC Bioinformatics.

Randomized boosting with multivariable base-learners for high-dimensional variable selection and prediction

Christian Staerk, Andreas Mayr, A. Mayr, 2021, BMC Bioinformatics.

Prediction Inference with Ensemble Methods

Andreas Mayr, A. Mayr, 2010 .

Web-based data collection yielded an additional response bias--but had no direct effect on outcome scales.

O. Gefeller, M. de Zwaan, H. Prokosch, 2012, Journal of clinical epidemiology.

Maintenance tocolysis, tocolysis in preterm premature rupture of membranes and in cervical cerclage – a Germany-wide survey on the current practice after dissemination of the German guideline

A. Mayr, P. Oppelt, S. Kehl, 2023, Journal of perinatal medicine.