To path indicator To navigation To quick access To footer with other services
To content
Mathematical Statistics with Applications in Biometrics
Department of Statistics
Studenten im Sommer auf dem Campus Nord, rote Zahnräder im Hintergrund © Roland Baege​/​TU Dortmund

Dissertations

Dissertations from the entire Department of Statistics can be found at this link.

The following dissertations were written at the Department of Mathematical Statistics and Biometric Applications:

  • Dany-Armand Djeudeu-Deudjui (2022): Spatial and Spatio-temporal Regression Modeling with Conditional Autoregressive Random Effects for Epidemiological and Spatially Referenced Data.
  • Jonathan Rathjens (2021): River-Mediated Dynamic Environmental Factors and Perinatal Data Analysis
  • Marius Thomas (2019): Subgroup analyses and investigations of treatment effect heterogeneity in clinical dose-finding trials
  • Yessica Fermin (2018): Statistical modeling of protein-protein interaction networks
  • Leo N. Geppert (2018): Bayesian and frequentist regression approaches for very large data sets
  • Anke Hüls (2018): Weighting Approaches for Genetic Risk Scores in Gene-Environmental Interaction Studies.
  • Sabrina Siebert (2017): Measurement and statistical analysis of clustering phenomena in signaling proteins in the plasma membrane
  • Claudia Köllmann (2016): Unimodal spline regression and its use in various applications with single or multiple modes
  • Martin Schäfer (2015): Finite Bayesian Mixture Models with Applications in Spatial Cluster Analysis and Bioinformatics
  • Jakob Wieczorek (2015): Segregation and inference of biomolecular networks
  • Inoncent Agueusop (2014): Enrichment Designs and Sensitivity-preferred Classification
  • Swaantje Wiarda Casjens (2013): Adaptation and comparison of evolutionary multi-objective algorithms using variable weighting measures - Using the example of cost-sensitive classification of lung cancer subtypes
  • Marit Ackermann (2012): Discovering genetic interactions based on natural genetic variation. (Ickstadt, Beyer
  • Mathias Schaller (2011): Influence of dialysis modalities on mortality.
  • Anika Buchholz (2010): Assessment of time-varying long-term effects of therapies and prognostic factors.
  • Arno Fritsch (2010): Bayesian Mixtures for Cluster Analysis and Flexible Modeling of Distributions.
  • Tina Müller (2010): Local Analysis of High Dimensional Genetic Data Considering Interaction Effects.
  • Björn Bornkamp (2009): On Nonparametric Bayesian Analysis under Shape Constraints with Applications in Biostatistics.
  • Stefan Böhringer (2009): Characterizing Association Parameters in Genetic Family-based Association Studies.
  • Sibylle Sturtz (2007): Comparing Models for Variables Given on Disparate Spatial Scales: An Epidemiological Example.
  • Holger Schwender (2007): Statistical Analysis of Genotype and Gene Expression Data.
To top of page