Dissertations
- 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): Messung und statistische Analyse von Clusterphänomenen bei Signalproteinen in der Plasmamembran
- 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): Entmischung und Inferenz biomolekularer Netzwerke
- Inoncent Agueusop (2014): Enrichment Designs and Sensitivity-preferred Classification
- Swaantje Wiarda Casjens (2013): Adaption und Vergleich evolutionärer mehrkriterieller Algorithmen mit Hilfe von Variablenwichtigkeitsmaßen - Am Beispiel der kostensensitiven Klassifikation von Lungenkrebssubtypen
- Marit Ackermann (2012): Discovering genetic interactions based on natural genetic variation. (Ickstadt, Beyer
- Mathias Schaller (2011): Einfluss von Dialysemodalitäten auf die Mortalität
- 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 Assoziation 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.
Possible subjects for theses to work on
- 11.01.2022 (Bachelor or Master thesis)
Topic: Datenkompetenzen der Studierenden der TU Dortmund
Advisor: Prof. Dr. Katja Ickstad, Dr. Henrike Weinert
Starting date: immediate
Description
- 24.8.2020 (Bachelor's or Master's Thesis)
Subject: Regression and classification of very large data
Advisor: Prof. Dr. Katja Ickstadt, Dr. Alexander Munteanu, M.Sc. Simon Omlor
Starting date: immediate
Description
- 7.12.2018 (Master's Thesis)
Subject: Meta-research on scientific publication practice: a novel approach for estimating publication bias
Advisors: Prof. Dr. Katja Ickstadt, Prof. Dr. Matthias Greiner (Bundesinstitut für Risikobewertung)
Starting date: immediate
Description
- 09.07.2018 (Master's Thesis)
Subject: Einflüsse auf Brückenschäden im zeitlichen und räumlichen Verlauf
Advisor: Prof. Dr. Katja Ickstadt
Starting date: immediate
Description (German)
If you are interested in Bayesian Methods or in statistics and data analysis in the fields of Epidemiology or Clinical Studies, please do not hesitate to contact us at any time and ask for topics.
Current Bachelor- and Master Students
Diploma-, Master- and Bachelortheses