Talks

• Statistical learning, advanced statistical modelling and clinical reality. Departamento de Estatıstica Universidade Federal de Pernambuco. October 2023 – Recife, Pernambuco, Brasil.
• Methodological aspects concerning the development and validation of clinical prediction models for PPD with a focus on statistical learning. 2nd Riseup-PPD International Conference. September 2023 – Sofia, Bulgaria.
• Statistical boosting, advanced statistical modeling and clinical reality. Centro de Estatıstica e Aplicacoes Universidade de Lisboa. July 2023 – Lisboa, Portugal.
• Using the R2 measure on test data? The evaluation of polygenic prediction models across populations. Statistical Computing. July 2023 – Schloss Reisensburg, Günzburg, Germany.
• Statistical boosting for biomedical research: strengths and limitations. XIX Conferencia Espanola de Biometria (CEB). June 2023 – Vigo, Spain.
  
• Short Course: Workshop Linear Mixed Models in R – Short Time Scientific Mission (together with Prof. Bruno de Sousa). COST Action CA18138, University of Coimbra. Oktober 2022 – Coimbra, Portugal.
• Teaching Probabilities and risks to medical students with a special focus on communication with patients. 11th International Conference on Teaching Statistics. September 2022 – Rosario, Argentinia.
• Boosting polygenic risk score. Statistical Computing. July 2022 – Schloss Reisensburg, Germany.
• Short Course: Training School Data Analysis in R for Peripartum Depression Disorder (together with Carla Diaz Louzao). COST Action CA18138, University of Gdansk. July 2022 – Gdansk, Poland.
• Enhanced variable selection via statistical boosting. Spanish Conference on Statistics and Operational Research (SEIO). July 2022 – Granada, Spain.
• Advanced regression modelling with statistical learning. European Eye Epidemiology (E3) Meeting. June 2022 – Bonn, Germany.
• Prediction accuracy, sparsity and clinical reality: a case study on statistical learning. TU Graz, Austrian-Slowenian Joint Statistical Days. April 2022 – Graz, Austria.
• Recent extensions to statistical boosting. TU Dortmund. October 2021 – Dortmund, Germany.
• Boosting regression models for multiple endpoints. Universität Heidelberg. July 2019 – Heidelberg, Germany.
• Boosting health-related quality of life via distributional beta regression. International Workshop on Statistical Modelling. July 2019 – Guimaraes, Portugal.
• Boosting regression models for multiple endpoints. Universitet i Oslo. May 2019 – Oslo, Norway.
• Boosting regression models for multiple endpoints. DAGSTAT 2019. March 2019 – Munich, Germany.
• Statistical boosting for time-to-event data: An overview on recent developments. CM-Statistics 2018. December 2018 – Pisa, Italy.
• Boosting Joint Models for Longitudinal and Time-to-Event Data. Abteilung für Epidemiologie und Biometrie, Universität Oldenburg. November 2018 – Oldenburg, Germany.
• An introduction to boosting Generalized Additive Models for Location, Scale and Shape. Departmendt of Statistics, Universität Linz. March 2018 – Linz, Austria.
• Distributional and quantile regression for quality control in fetal weight estimation. CEN-ISBS: International Biometric Society. August 2017 – Vienna, Austria.
• Boosting distributional regression models for multivariate responses. International Workshop on Statistical Modelling. July 2017 – Groningen, Netherlands.
• A non-technical introduction to boosting distributional regression models with an application to health-related quality of life outcomes. IBE Munich. May 2017 – Munich, Germany.
• An introduction to boosting distributional regression models. Department of Statistics, Munich. May 2017 – Munich, Germany.
• Boosting Joint Models for longitudinal and time-to-event outcomes (joint work with Elisabeth Waldmann). CMStatistics 2016. December 2016 – Seville, Spain.
• Boosting distributional regression models for multivariate responses (joint work with Janek Thomas and Nadja Klein). DAGSTAT 2016. July 2016 – Günzburg, Germany.
• Distributional and quantile regression for quality control in fetal weight estimation (joint work with Florian Faschingbauer and Matthias Schmid). International Workshop on Statistical Modelling. July 2016 – Rennes, France.
• Boosting distributional regression models for multivariate responses (joint work with Janek Thomas and Nadja Klein). DAGSTAT 2016. March 2016 – Göttingen, Germany.
• An introduction to boosting generalized additive models for location, scale and shape. Universidad de Buenos Aires. February 2016 – Buenos Aires, Argentina.
• Boosting distributional regression models for multivariate responses (joint work with Janek Thomas and Nadja Klein). CMStatistics 2015. December 2015 – London, UK.
• Analysing measurement errors via boosting location and scale models (joint work with Matthias Schmid, Wolfgang Uter, Annette Pfahlberg and Olaf Gefeller). Statistical Computing. July 2015 – Schloss Reisensburg, Günzburg, Germany.
• Boosting the discriminatory power of survival models via the C-index and stability selection (joint work with Benjamin Hofner and Matthias Schmid). International Workshop on Statistical Modelling. July 2015 – Linz, Austria.
• Boosting beyond the mean and permutation – testing for reliability (joint work with Matthias Schmid, Wolfgang Uter, Annette Pfahlberg and Olaf Gefeller). ERCIM Working Group on Computing and Statistics. December 2014 – Pisa, Italy.
• Boosting the Concordance Index for Survival Data. University of Essex. October 2014 – Colchester, UK.
• Short Course: Boosting for statistical modelling (together with Benjamin Hofner). University of Essex. October 2014 – Colchester, UK.
• Boosting the concordance index for survival data. (Joint work with Matthias Schmid.) Statistical Computing. July 2014 – Schloss Reisensburg, Günzburg, Germany.
• Short Course: Boosting for statistical modelling (together with Benjamin Hofner). International Worshop on Statistical Modelling. July 2014 – Göttingen, Germany.
• Estimation of biomarker combinations by boosting the concordance index for survival data. (Joint work with Matthias Schmid.) Biometrisches Kolloquium. March 2014 – Bremen, Germany.
• Boosting sonographic birth weight estimation. (Joint work with Florian Faschingbauer and Matthias Schmid.) International Workshop on Statistical Modelling. July 2013 – Palermo, Italy.
• Boosting sonographic birth weight estimation. (Joint work with Florian Faschingbauer and Matthias Schmid.) Statistical Computing. June 2013 – Schloss Reisensburg, Günzburg, Germany.
• A non-technical introduction to boosting GAMLSS. Interdisciplinary Research Training Group Scaling Problems in Statistics. May 2013 – University of Göttingen, Germany.
• Short Course: Generalised Additive Models for Location Scale and Shape (together with Mikis Stasinopoulos). University of Essex. May 2013 – Colchester, UK.
• More than just the mean: Flexible statistical modelling via GAMLSS. DAGStat 2013. March 2013 – University of Freiburg, Germany.
• Fitting prediction intervals for BMI patterns in childhood by boosting longitudinal quantile regression. (Joint work with Nora Fenkse and Torsten Hothorn.) International Worshop on Statistical Modelling. July 2012 – Prague, Czech Republic.
• Boosting Generalized Additive Models for Location Scale and Shape. (Joint work with Nora Fenkse, Benjamin Hofner, Thomas Kneib and Matthias Schmid.) Statistical Computing. June 2012 – Schloss Reisensburg, Günzburg, Germany.
• Fitting prediction intervals by boosting quantile regression. (Joint work with Nora Fenkse and Torsten Hothorn.) ERCIM Working Group on Computing and Statistics. December 2011 – London, UK.
• Boosting Generalized Additive Models for Location Scale and Shape. (Joint work with Nora Fenske, Benjamin Hofner, Thomas Kneib and Matthias Schmid.) International Worshop on Statistical Modelling. July 2011 – Valencia, Spain.
• Tutorial: Model based boosting in R. (Together with Nikolai Robinzonov, Benjamin Hofner and Matthias Schmid.) Statistical Computing. May 2011 – Schloss Reisensburg, Günzburg, Germany.
• Prognoseintervalle und Quantils-Boosting: Eine Simulationsstudie. (Joint work with Nora Fenske and Torsten Hothorn.) Institut für Statistik, Ludwig-Maximilians-Universität München June 2010 – Munich, Germany.
• Prediction Intervals and Quantile Boosting: A Simulation Study. (Joint work with Nora Fenske and Torsten Hothorn.) Statistical Computing. June 2010 – Schloss Reisensburg, Günzburg, Germany.