Publications
Full list and citation counts on Google Scholar.
2026
2025
- Predictive modeling for step II therapy response in periodontitis patients
- Flexible modelling of time-varying exposures and recurrent events
- Reduction Techniques for Survival Analysis
- Multi-state Models For Modeling Disease Histories Based On Left-Truncated Data
- Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data
- High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Estimation
- mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration
- Enhancing Traffic Accident Classifications: Application of NLP and Graph Neural Network Approaches
- On Training Survival Models with Scoring Rules
2024
- Deep learning for survival analysis: a review
- Recurrent events analysis with piece-wise exponential additive mixed models
- Heterogeneous treatment effect estimation for observational data using model-based forests
- Time-varying determinants of graft failure in pediatric kidney transplantation
- Introducing recurrent event analyses to assess species interactions in parasite communities
- A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data
- Relevance of protein intake for weaning in the mechanically ventilated critically ill
- Flexible additive models for multi-event survival analysis
2023
- A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC
- Evaluating machine learning models in non-standard settings: An overview and new findings
- Challenges in interpreting epidemiological surveillance data: the example of COVID-19 incidence in Germany
- On the Connection Between Language Change and Language Processing
2022
- Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models
- A comparative analysis of pediatric mental health-related emergency department visits during the COVID-19 pandemic
- DeepPAMM: Deep piecewise exponential additive mixed models for complex hazard structures in survival analysis
- Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures
- A downscaling approach to compare COVID-19 count data from databases with different spatial resolutions
- Mundus vult decipi, ergo decipiatur: Visual Communication of Anticancer Treatment Efficacy
- Factorized structured regression for large-scale varying coefficient models
- EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer
- Examining properness in the external validation of survival models with squared and logarithmic losses
2021
- mlr3proba: an R package for machine learning in survival analysis
- Nowcasting the COVID-19 pandemic in Bavaria
- Predicting non-state terrorism worldwide
- Analysis of the early COVID-19 epidemic curve in Germany by regression models with change points
- Semi-structured deep piecewise exponential models
- Bi-centric independent validation of outcome prediction after radioembolization of hepatic metastases
2020
- A general machine learning framework for survival analysis
- Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi
- Analysis of the COVID-19 pandemic in Bavaria: adjusting for misclassification
- KOALA: a new paradigm for election coverage: An opinion poll-based election analysis and forecasting framework
2019
2018
2014
2013
- Prevalence and severity of foot pad alterations in German turkey flocks
- Nutritional screening for risk prediction in patients scheduled for cardiac surgery
- Effects of the housing climate on the foot pad health of fattening turkeys
- Iterative reconstruction of high-dimensional Gaussian graphical models based on a pseudo-likelihood estimator