Dissertationen
Dissertationen der gesamten Fakultät Statistik finden Sie unter diesem Link.
Die nachfolgenden Dissertation wurden am Lehrstuhl für Mathematische Statistik und biometrische Anwendungen verfasst:
- Dany-Armand Djeudeu-Deudjui (2022): Spatial and Spatio-temporal Regression Modelling 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): Messung und statistische Analyse von Clusterphänomenen bei Signalproteinen in der Plasmamembran
- Simone Hermann(2016): Bayesian prediction for stochastic models in reliability
- 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.
- Ulrike Schach(2002): Vector autoregressive time series models with spatial dependence