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1. GRK 2624
2. People
Doctoral Researchers

Doctoral Researchers Regression Sathish Kabatkar Ravindranth (TU Dortmund) Project R1 Patrick Wincy Reyes (HHU Düsseldorf) Project R3 Prediction Huiying Zhou (TU Dortmund) Project P1 Wiebke Dammann (TU …
1. STABI
2. Staff
3. Prof. Dr. Christine Müller (Seniorprofessor)
Publications Müller

multiple regression based on simplicial depth. Journal of Multivariate Analysis 101, 824-838. Preprint: PDF-File Wellmann, R., and Müller, Ch.H. (2010). Depth notions for orthogonal regression. Journal [...] detection in regression surface. Sankhya 69, 55-86. Preprint: PDF-File Wellmann, R., Katina, St. and Müller, Ch.H. (2007). Calculation of simplicial depth estimators for polynomial regression with applications [...] Breakdown points of Cauchy regression-scale estimators. Statist. & Probab. Letters 57, 79-89. 2001 Bednarski, T. and Müller, Ch.H. (2001). Optimal bounded influence regression and scale M-estimators. Statistics …
1. GRK 2624
2. Research
Publications

/CA (OECD 489; Tug and Duda, et. al, 2024). Grouped regression modeling of proteins Jonas Heiner, Jan G. Hengstler, Andreas Groll Grouped regression modeling of proteins, Proceedings of the 37th International [...] utilization of regression models in order to investigate the relationship between gene expression and protein levels. Co-expression analysis for gene grouping is used for the regression models to additionally [...] content Hierarchical modeling of risk factors with and without prior information—the process of regression model evaluation for an example of respiratory diseases in piglet production from daily practice …
1. GRK 2624
RTG 2624 - TU Dortmund - Biostatistical methods ...

a target. Research programme The three project areas are regression, prediction, and integration. To model health indicators, modern regression techniques will be developed that analyse the genetic influence …
1. Compstat
2. Research
3. Projects
Bayesian Distributional Latent Variable Models

variable models that combines the principles of IRT and SEM with the flexibility of distributional regression powered by modern Bayesian estimation methods. Project Members: Luna Fazio Funders: German Research …
1. MSIND
2. News: 4/17/2025
Successful participation of Dortmund Master's students in award ceremonies

DAGStat 2025, the Master's theses by Jan-Bernd Igelmann (Optimal Designs for Non-Linear Segmented Regression ) and Loreen Sabel (Projections of Multidimensional Count Data IRT Models and Their Empirical …
1. EconStat
2. Research
Cooperations

Transregio 391. © (TRR 391) TRR Homepage © DFG Project website German Research Foundation Predictive regressions for systemic risk measures DFG grant (project number 531866675) together with Yannick Hoga (University …
1. GRK 2624
2. Research
3. Projects
I7: SparcePolygenMods

and evaluate sparse PRS models that base the SNP selection and effect estimation on multivariable regression models fitted on individual-level genotype data, to directly account for the correlation structure [...] employ and further develop recent scalable frameworks to fit sparse PRS models via regularised regression such as the Lasso ( snpnet , Qian et al., 2020) and statistical boosting approaches ( snpboost [...] Hastie T (2020). A fast and scalable framework for large-scale and ultrahigh-dimensional sparse regression with application to the UK Biobank. PLoS Genet, 16(10), e1009141. doi: 10.1371/journal.pgen.1009141 …
1. Biometrie
Publications

Köllmann, C., Ickstadt, K., & Fried, R. (2016). Beyond unimodal regression: modeling multimodality with piecewise unimodal regression or deconvolution models. https://arxiv.org/abs/1606.01666 Koppers [...] (2014). Unimodal regression using Bernstein-Schoenberg splines and penalties. Biometrics , 70 (4), 783-793. Köllmann, C., Ickstadt, K., & Fried, R. (2014). Beyond unimodal regression: modeling multimodality [...] H., Posch, M., & Bogdan, M. (2014). Detection of epistatic effects with logic regression and a classical linear regression model. Statistical applications in genetics and molecular biology , 13 (1), 83-104 …
1. MSIND
2. Studies
3. Teaching
Resampling and Simulation SS 23

samples? How to impute missing values for valid inference in mixed effects regression? Resampling for count-data or ordinal regression models Analyzing the effect of outliers in longitudinal data analysis …