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Mathematical Statistics with Applications in Biometrics
Department of Statistics
Studenten im Sommer auf dem Campus Nord, rote Zahnräder im Hintergrund © Roland Baege​/​TU Dortmund

Publications

2023

Ding, Z., Ickstadt, K., Munteanu, A. Bayesian analysis for dimensionality and complexity reduction, 2023, in: Morik, K., Rahnenführer, J., Wietfeld, C. (eds.): Machine Learning under Resource Constraints - Applications, deGruyter, Berlin, 58-70. DOI: 10.1515/9783110785982

 Wichert, K., Hoppe, R., Ickstadt, K. et al.  Polymorphisms in genes of melatonin biosynthesis and signaling support the light‑at‑night hypothesis for breast cancer, 2023, European Journal of Epidemiology, doi: 10.1007/s10654-023-01048-7

Falk Hemker, Timo Haselhoff, Susanne Brunner, Bryce T. Lawrence, Katja Ickstadt, Susanne Moebus. the role of traffic volume on sound pressure level reduction before and during COVID-19 lockdown measures in Bochum, Germany, 2023, Environmental Science and Engineering.

2022

S. M. Seyedpour, C. Henning, P. Kirmizakis, S. Herbrandt, K. Ickstadt, R. Doherty and T. Ricken. Uncertainty with Varying Subsurface Permeabilities Reduced Using Coupled Random Field and Extended Theory of Porous Media contaminant transport models, Water 2023, 15(1), 159. doi. org/ 10.3390/w15010159

Weber, F., Ickstadt, K., & Glass, E. (2022). shinybrms: Fitting Bayesian regression models using a graphical user interface for the R package brms, The R Journal, 14/(2), 96-120. https://doi.org/10.32614/RJ-2022-027

Sarah Friedrich, Andreas Groll, Katja Ickstadt, Thomas Kneib, Markus Pauly, Jörg Rahnenführer, Tim Friede, Regularization approaches in clinical biostatistics: A review of methods and their applications, Statistical Methods in Medical Research, SAGE journals, 2022, https://doi.org/10.1177/09622802221133557

Jonas Kupschus, Stefan Janssen, Andreas Hoek, Jan Kuska, Jonathan Rathjens, Carsten Sonntag, Katja Ickstadt et al. Rapid detection and online analysis of microbial changes through flow cytometry, Cytometry: Part A , Volume 101 - Issue 12, 2022, https://doi.org/10.1002/cyto.a.24704

D. Djeudeu, S. Moebus, K. Ickstadt, Multilevel conditional autoregressive models for longitudinal and spatially referenced epidemiological data, Spatial and Spatio-temporal Epidemiology, Volume 41, 2022, 100477, ISSN 1877-5845, https://doi.org/10.1016/j.sste.2022.100477

Silvia Chines, Christiane Ehrt, Marco Potowski,Katja Ickstadt, Susanne Brunner, et al. Navigating Chemical Reaction Space - Application to DNA-encoded Chemistry. Chemical Science, 2022, DOI: 10.1039/D2SC02474H.

Djeudeu, D. (2022). spatial and spatio-temporal regression modeling with conditional autoregressive random effects for epidemiological and spatially referenced data (Publisher's Version) [Dortmund University Library]. doi. org/10.17877/de290r-22855

Ickstadt, K., Müller, H., & Weinert, H. (2022). Data literacy. In C. Weihs (Ed.), Statistical data analysis in journalism (Publisher's Version, 1st ed., pp. 29-42). Springer VS. doi. org/10.1007/978-3-662-64693-9_3

Ickstadt, K., Pauly, M., Motta, M., Herbrandt, S., Moroff, N., Niemann, F., Henke, M., & Ten Hompel, M. (2022). Artificial intelligence learning methods for data valorization: automated detection and prediction. In M. Ten Hompel, M. Henke, & B. Otto (Eds.), Silicon Economy (Publisher's Version, pp. 229-250). Springer Vieweg. doi. org/10.1007/978-3-662-63956-6_11

Lau, M., Wigmann, C., Kress, S., Schikowski, T., & Schwender, H. (2022). Evaluation of tree-based statistical learning methods for constructing genetic risk scores [OnlineResource]. BMC Bioinformatics, 23, Article 97. doi. org/10.1186/s12859-022-04634-w

Thomas, M., Bornkamp, B., & Ickstadt, K. (2022). Identifying treatment effect heterogeneity in dose-finding trials using Bayesian hierarchical models. Pharmaceutical Statistics, 21(1), 17-37. doi. org/10.1002/pst.2150

2021

Friedrich, S., Antes, G., Behr, S., Binder, H., Brannath, W., Dumpert, F., Ickstadt, K., Kestler, H. A., Lederer, J., Leitgöb, H., Pauly, M., Steland, A., Wilhelm, A., & Friede, T. (2021). Is there a role for statistics in artificial intelligence? Advances in Data Analysis and Classification. Published. doi. org/10.1007/s11634-021-00455-6

Heinrich, J., Maurer, R., Leckey, K., Müller, C. H., & Ickstadt, K. (2021). Detecting fatigue-induced prestressing steel fractures using crack monitoring in tests and on structures. Civil Engineering, 96(3), 92-101. doi. org/10.37544/0005-6650-2021-03-60

Madjar, K., Zucknick, M., Ickstadt, K., & Rahnenführer, J. (2021). Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. BMC Bioinformatics, 22, Article 586. doi. org/10.1186/s12859-021-04483-z

Rathjens, J. (2021). river-mediated dynamic environmental factors and perinatal data analysis (Publisher's Version) [Dortmund University Library]. doi. org/10.17877/de290r-22453

Rathjens, J., Becker, E., Kolbe, A., Ickstadt, K., & Hölzer, J. (2021). Spatial and temporal analyses of perfluorooctanoic acid in drinking water for external exposure assessment in the Ruhr metropolitan area, Germany: the 'PerSpat' project. Stochastic Environmental Research and Risk Assessment, 35(6), 1127-1143. doi. org/10.1007/s00477-020-01932-8

Weber, F., Knapp, G., Glass, Ä., Kundt, G., & Ickstadt, K. (2021). Interval estimation of the overall treatment effect in random-effects meta-analyses: recommendations from a simulation study comparing frequentist, Bayesian, and bootstrap methods. Research Synthesis Methods, 12(3), 291-315. doi. org/10.1002/jrsm.1471

Wunder, J., Pemp, D., Cecil, A., Mahdiani, M., Hauptstein, R., Schmalbach, K., Geppert, L., Ickstadt, K., Esch, H. L., Dandekar, T., & Lehmann, L. (2021). Influence of breast cancer risk factors on proliferation and DNA damage in human breast glandular tissues: role of intracellular estrogen levels, oxidative stress and estrogen biotransformation. Archives of Toxicology. In press. doi. org/10.1007/s00204-021-03198-7

2020

Djeudeu, D., Engel, M., Jöckel, K.-H., Moebus, S., & Ickstadt, K. (2020). Spatio-temporal analysis of the risk of depression at district-level and association with greenness based on the Heinz Nixdorf recall study. Spatial and spatio-temporal epidemiology, 33(June), 100340-100340. doi:10.1016/j.sste.2020.100340.

Fermín R., Y. Y., & Ickstadt, K. (2020). Nonparametric dynamic Bayesian networks approximate protein interaction networks in a simulation study. Annals of biometrics and biostatistics, 5(1), 1031_1-1031_8. https://www.jscimedcentral.com/Biometrics/biometrics-5-1031.pdf

Geppert, L., Ickstadt, K., Munteanu, A., & Sohler, C. (2020a). Streaming statistical models via merge & reduce. International journal of data science and analytics, 10(4), 331-347. doi:10.1007/s41060-020-00226-0.

Geppert, L., Ickstadt, K., Munteanu, A., & Sohler, C. (2020b). Streaming statistical models via merge & reduce. International journal of data science and analytics, 2020, 324. doi:10.1007/s41060-020-00226-0.

Pemp, D., Geppert, L., Wigmann, C., Kleider, C., Hauptstein, R., Schmalbach, K., et al. (2020). Influence of breast cancer risk factors and intramammary biotransformation on estrogen homeostasis in the human breast. Archives of toxicology, 94(9), 3013-3025. doi:10.1007/s00204-020-02807-1.

Rathjens, J., Becker, E., Kolbe, A., Ickstadt, K., & Hölzer, J. (2020a). Spatial and temporal analyses of perfluorooctanoic acid in drinking water for external exposure assessment in the Ruhr metropolitan area, Germany. Stochastic environmental research and risk assessment. doi:10.1007/s00477-020-01932-8.

Rathjens, J., Becker, E., Kolbe, A., Ickstadt, K., & Hölzer, J. (2020b). Spatial and temporal analyses of perfluorooctanoic acid in drinking water for external exposure assessment in the Ruhr metropolitan area, Germany. Stochastic environmental research and risk assessment, 2021. doi:10.1007/s00477-020-01932-8.

Schuldt, K., Behrens, T., Taeger, D., Jankovic, N., Ickstadt, K., & Stang, A. (2020). PhD program "Epidemiology & Clinical Research" at the University Hospital Essen. GMS Medical Informatics, Biometry and Epidemiology, 16(1), Doc04. doi:10.3205/mibe000207.

Schwender, H., & Ickstadt, K. (2020). A novel algorithmic approach to Bayesian logic regression: invited discussion on the paper by Hubin, A., Storvik, G., Frommlet, F.; [Discussion paper]. Bayesian analysis, 15(1), 302-306. doi:10.1214/18-ba1141.

Tug, T., Ickstadt, K., Kunz, M., Sutter, A., & Igl, B.-W. (2020). Statistical analysis of in vivo alkaline comet assay data - comparison of median and geometric mean as centrality measures. Regulatory toxicology and pharmacology, 118, 104808. doi:10.1016/j.yrtph.2020.104808.

Weber, F., Knapp, G., Glass, E., Kundt, G., & Ickstadt, K. (2020). Interval estimation of the overall treatment effect in random-effects meta-analyses: recommendations from a simulation study comparing frequentist, Bayesian, and bootstrap methods. Research synthesis methods. doi:10.1002/jrsm.1471.

Weber, F., Knapp, G., Ickstadt, K., Kundt, G., & Glass, E. (2020). Zero-cell corrections in random-effects meta-analyses. Research synthesis methods, 11(6), 913-919. doi:10.1002/jrsm.1460.

2019

Basaran, N., Duydu, Y., Üstündag, A., Taner, G., Aydin, S., Anlar, H. G., et al. (2019). Evaluation of the DNA damage in lymphocytes, sperm and buccal cells of workers under environmental and occupational boron exposure conditions. Mutation research / Genetic toxicology and environmental mutagenesis, 843, 33-39. doi:10.1016/j.mrgentox.2018.12.013.

Duydu, Y., Başaran, N., Yalçın, C. Ö., Üstündağ, A., Aydın, S., Anlar, H. G., et al. (2019). Boron-exposed male workers in Turkey: no change in sperm Y:X chromosome ratio and in offspring's sex ratio. Archives of toxicology, 93(3), 743-751. doi:10.1007/s00204-019-02391-z

Gnändinger, P., Geppert, L., & Ickstadt, K. (2019). Players' penalty kick anxiety: Which shooter and which goalkeeper are the best? In W. Krämer & C. Weihs (Eds.), Fascination with statistics: insights into current research questions and findings (pp. 67-74). doi:10.1007/978-3-662-60562-2_9

Hüls, A., Sugiri, D., Abramson, M. J., Hoffmann, B., Schwender, H., Ickstadt, K., et al. (2019). Benefits of improved air quality on aging lungs: impacts of genetics and obesity. bioRxiv beta, 2019. doi:10.1101/521328.

Kolbe, A., Rathjens, J., Becker, E., Bücker-Nott, H., Ickstadt, K., & Hölzer, J. (2019). PFOA exposure assessment in North Rhine-Westphalia, Germany, linking birth registry data with tap water concentrations. Environmental epidemiology, 3(Supplement 1), 212. doi:10.1097/ href="01.ee9.0000608176.41536.ae">01.ee9.0000608176.41536.ae

Pemp, D., Kleider, C., Schmalbach, K., Hauptstein, R., Geppert, L., Köllmann, C., et al. (2019). Qualitative and quantitative differences in estrogen biotransformation in human breast glandular and adipose tissues: implications for studies using mammary biospecimens. Archives of toxicology, 93(10), 2823-2833. doi:10.1007/s00204-019-02564-w.

Rathjens, J., Becker, E., Kolbe, A., Olthoff, K., Bergmann, S., Hölzer, J., & Ickstadt, K. (2019). Spatio-temporal smoothing of drinking water contamination data. In 5th joint statistical meeting, march 18-22, Munich: DAGStat 2019; statistics under one umbrella; book of abstracts (p. 91).

Rathjens, J., Becker, E., Kolbe, A., Olthoff, K., Bergmann, S., Ickstadt, K., & Hölzer, J. (2019). Spatio-temporal data modeling and prediction of PFOA drinking water contamination. Environmental epidemiology, 3(Supplement 1), 327. doi:10.1097/01.ee9.0000609588.69457.a3

Schmidt, A., Henning, C., Herbrandt, S., Könke, C., Ickstadt, K., Ricken, T., & Lahmer, T. (2019). Numerical studies of earth structure assessment via the theory of porous media using fuzzy probability based random field material descriptions. GAMM-Mitteilungen / Society for Applied Mathematics and Mechanics, 42(1), e201900007_1-e201900007_15. doi:10.1002/gamm.201900007.

Selinski, S., Ickstadt, K., & Golka, K. (2019). Tracking the action of genes with statistics. In W. Krämer & C. Weihs (Eds.), Fascinating statistics: insights into current research questions and findings (pp. 41-49). doi:10.1007/978-3-662-60562-2_6

Tietz, T., Selinski, S., Golka, K., Hengstler, J. G., Gripp, S., Ickstadt, K., et al. (2019). Identification of interactions of binary variables associated with survival time using survivalFS. Archives of toxicology, 93(3), 585-602. doi:10.1007/s00204-019-02398-6.

Weihs, C. (2019). Applications in statistical computing: from music data analysis to industrial quality improvement ; published in honor of Claus Weihs, professor of computational statistics at TU Dortmund University. (N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, & M. Vichi, Eds.)Studies in classification, data analysis, and knowledge organization (1st ed.). Cham: Springer. www. springer.com/gp/book/9783030251468

Weihs, C., & Ickstadt, K. (2019). Is data science more than statistics? A look beyond the box. In W. Krämer & C. Weihs (Eds.), Fascinating statistics: Insights into current research questions and findings (pp. 203-210). doi:10.1007/978-3-662-60562-2_26

Wigmann, C., Lange, L., Vautz, W., & Ickstadt, K. (2019). Modelling and classification of GC/IMS breath gas measurements for lozenges of different flavours. In N. Bauer, K. Ickstadt, K. Lübke, G. Szepannek, H. Trautmann, & M. Vichi (Eds.), Applications in statistical computing: from music data analysis to industrial quality improvement ; published in honor of Claus Weihs, professor of computational statistics at TU Dortmund University (pp. 31-48). doi:10.1007/978-3-25147-5_3

2018

Duydu, Y., Başaran, N., Aydın, S., Üstündağ, A., Yalçın, C. Ö., Anlar, H. G., Ickstadt, K., et al. (2018). Evaluation of FSH, LH, testosterone levels and semen parameters in male boron workers under extreme exposure conditions. Archives of toxicology, 92(10), 3051-3059. doi:10.1007/s00204-018-2296-7.

Duydu, Y., Başaran, N., Üstündağ, A., Aydın, S., Yalçın, C. Ö., Anlar, H. G., Ickstadt, K., et al. (2018). Birth weights of newborns and pregnancy outcomes of environmentally boron-exposed females in Turkey. Archives of toxicology, 92(8), 2475-2485. doi:10.1007/s00204-018-2238-4.

Henning, C., Herbrandt, S., Ickstadt, K., & Ricken, T. (2018). Combining finite elements and random fields to quantify uncertainty in a multi-phase structural analysis. Proceedings in applied mathematics and mechanics, 18(1), e201800333. doi:10.1002/pamm.201800333.

Hermann, S., Ickstadt, K., & Müller, C. H. (2018). Bayesian prediction for a jump diffusion process: with application to crack growth in fatigue experiments. Reliability engineering & system safety, 179, 83-96. doi:10.1016/j.ress.2016.08.012.

Ickstadt, K., Schäfer, M., & Zucknick, M. (2018). Toward integrative Bayesian analysis in molecular biology. Annual review of statistics and its application, 5, 141-167. doi:10.1146/annurev-statistics-031017-100438.

Siebert, S., Ickstadt, K., Schäfer, M., Radon, Y., & Verveer, P. (2018). Comparison of clustering approaches with application to dual color protein data. IET systems biology, 12(1), 7-17. doi:10.1049/iet-syb.2017.0019.

Weihs, C., & Ickstadt, K. (2018). Data science: the impact of statistics. International journal of data science and analytics, 6(3), 189-194. doi:10.1007/s41060-018-0102-5.

Wichert, K., Herold, R., Terschüren, C., Ickstadt, K., Pesch, B., Lo, W., et al. (2018). The role of melatonin biosynthesis genes in breast cancer development. In P. Angerer & T. Muth (Eds.), 58th Annual Scientific Meeting 2018 of the German Society of Occupational and Environmental Medicine: documentation of presentations and posters (pp. 161-162).

2017

Geppert, L., Ickstadt, K., Munteanu, A., Quedenfeld, J., & Sohler, C. (2017). Random projections for Bayesian regression. Statistics and computing, 27(1), 79-101. doi:10.1007/s11222-015-9608-z

Golka, K., Ickstadt, K., Selinski, S., Hengstler, J. G., & Wilhelm, M. (2017). Third symposium on Environmental Toxicology in North Rhine-Westphalia, Germany: Interdisciplinary Research Activities in Toxicology, Statistics, Hygiene and Medicine; meeting report on a symposium held in Dortmund May 7-8, 2015. Archives of toxicology, 91(11), 3711-3715. doi:10.1007/s00204-017-2093-8.

Heinrich, J., Maurer, R., Hermann, S., Ickstadt, K., & Müller, C. H. (2017). Resistance of prestressed concrete structures to fatigue in domain of endurance limit. In D. A. Hordijk & M. Luković (Eds.), High tech concrete: where technology and engineering meet: proceedings of the 2017 fib Symposium, held in Maastricht, The Netherlands, June 12-14, 2017 (pp. 1784-1792).

Hüls, A., Frömke, C., Ickstadt, K., Hille, K., Hering, J., von Münchhausen, C., et al. (2017). Antibiotic resistances in livestock: a comparative approach to identify an appropriate regression model for count data. Frontiers in veterinary science, 4. doi:10.3389/fvets.2017.00071.

Hüls, A., Ickstadt, K., Schikowski, T., & Krämer, U. (2017). Detection of gene-environment interactions in the presence of linkage disequilibrium and noise by using genetic risk scores with internal weights from elastic net regression. BMC genetics, 18, 55_1-55_14. doi:10.1186/s12863-017-0519-1.

Hüls, A., Krämer, U., Carlsten, C., Schikowski, T., Ickstadt, K., & Schwender, H. (2017). Comparison of weighting approaches for genetic risk scores in gene-environment interaction studies. BMC genetics, 18, 115_1-115_12. doi:10.1186/s12863-017-0586-3.

Jabs, V., Edlund, K., König, H., Grinberg, M., Madjar, K., Rahnenführer, J., et al. (2017). Integrative analysis of genome-wide gene copy number changes and gene expression in non-small cell lung cancer. PLoS one, 12(11), e0187246. doi:10.1371/journal.pone.0187246.

Rekowski, J., Köllmann, C., Bornkamp, B., Ickstadt, K., & Scherag, A. (2017). Phase II dose-response trials: a simulation study to compare analysis method performance under design considerations. Journal of biopharmaceutical statistics, 1-17. doi:10.1080/10543406.2017.1293078.

Schlieker, L., Telaar, A., Lueking, A., Schulz-Knappe, P., Theek, C., & Ickstadt, K. (2017). Multivariate binary classification of imbalanced datasets: a case study based on high-dimensional multiplex autoimmune assay data. Biometrical journal, 59(5), 948-966. doi:10.1002/bimj.201600207.

Selinski, S., Blaszkewicz, M., Ickstadt, K., Gerullis, H., Otto, T., Roth, E., et al. (2017). Identification and replication of the interplay of four genetic high-risk variants for urinary bladder cancer. Carcinogenesis, 38(12), 1167-1179. doi:10.1093/carcin/bgx102.

Treppmann, T., Ickstadt, K., & Zucknick, M. (2017). Integration of multiple genomic data sources in a Bayesian cox model for variable selection and prediction. Computational and mathematical methods in medicine, 2017. doi:10.1155/2017/7340565

2016

Duydu, Y., Basaran, N., Üstündag, A., Aydin, S., Ündeger, Ü., Yavuz Ataman, O., et al. (2016). Is boric acid toxic to reproduction in humans: assessment of the Animal Reproductive toxicity data and epidemiological study results. Current drug delivery, 13(3), 324-329.

Hermann, S., Ickstadt, K., & Müller, C. H. (2016). Bayesian prediction of crack growth based on a hierarchical diffusion model. Applied stochastic models in business and industry, 32(4), 494-510. doi:10.1002/asmb.2175.

Hüls, A., Krämer, U., Stolz, S., Hennig, F., Hoffmann, B., Ickstadt, K., et al. (2016). Applicability of the Global Lung Initiative 2012 reference values for spirometry for longitudinal data of elderly women. PLoS one, 11(6), e0157569. doi:10.1371/journal.pone.0157569.

Kolbe, A., Rathjens, J., Becker, E.-M., Bücker-Nott, H.-J., Olthoff, K., Wilhelm, M., et al. (2016). Exposure to PFOA and birth outcome in North Rhine-Westphalia, Germany. In Abstracts of the 28th Annual Conference of the International Society for Environmental Epidemiology (ISEE), 1-4 September 2016, Rome, Italy. doi:10.1289/isee.2016.4396.

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, L., Wormer, H., & Ickstadt, K. (2016). Towards a systematic screening tool for quality assurance and semiautomatic fraud detection for images in the life sciences. Science and engineering ethics, 23(4), 1113-1128. doi:10.1007/s11948-016-9841-7.

Rathjens, J., Becker, E., Kolbe, A., Olthoff, K., Wilhelm, M., Ickstadt, K., & Hölzer, J. (2016, December 2). Smoothing applications for irregular time series with measurement errors. Presented at the Workshop "Errors in Variables ." http://www.biometrische-gesellschaft.de/fileadmin/AG_Daten/BayesMethodik/workshops_etc/2016-12_Mainz/Rathjens2016-abstract.pdf

Rathjens, J., Becker, E.-M., Bücker-Nott, H.-J., Goeken, N., Hölzer, J., Ickstadt, K., et al. (2016, March 15). Spatial modeling for birth weights, PFASs water contamination, and their dependence. Presented at the DAGStat.

2015

Casjens, S., Schwender, H., Brüning, T., & Ickstadt, K. (2015). A novel crossover operator based on variable importance for evolutionary multi-objective optimization with tree representation. Journal of heuristics, 21(1), 1-24. doi:10.1007/s10732-014-9269-7.

Fried, R., Aguesop, I., Bornkamp, B., Fokianos, K., Fruth, J., & Ickstadt, K. (2015). Retrospective Bayesian outlier detection in INGARCH series. Statistics and computing, 25(2), 365-374. doi:10.1007/s11222-013-9437-x.

Heeke, G., Hermann, S., Heinrich, J., Ickstadt, K., Maurer, R., & Müller, C. H. (2015). Stochastic modeling and statistical analysis of fatigue tests on prestressed concrete beams under cyclic loadings. Discussion paper / SFB 823 (Vol. 2015,25). Dortmund. doi:10.17877/DE290R-7624

Hermann, S., Ickstadt, K., & Müller, C. H. (2015a). Bayesian prediction for a jump diffusion process with application to crack growth in fatigue experiments. Discussion paper / SFB 823 (Vol. 2015,30). Dortmund. doi:10.17877/DE290R-16271

Hermann, S., Ickstadt, K., & Müller, C. H. (2015b). Prediction of crack growth based on a hierarchical diffusion model. Discussion paper / SFB 823 (Vol. 2015,4). Dortmund. doi:10.17877/DE290R-6907

Schäfer, M., Radon, Y., Klein, T., Herrmann, S., Schwender, H., Verveer, P., & Ickstadt, K. (2015). A Bayesian mixture model to quantify parameters of spatial clustering. Computational statistics & data analysis, 92, 163-176. doi:10.1016/j.csda.2015.07.004.

Wieczorek, J., Malik-Sheriff, R. S., Fermin, Y., Grecco, H. E., Zamir, E., & Ickstadt, K. (2015). Uncovering distinct protein-network topologies in heterogeneous cell populations. BMC systems biology, 9(1), 24. doi:10.1186/s12918-015-0170-2.

2014

Herrmann, S., Schwender, H., Ickstadt, K., & Müller, P. (2014). A Bayesian changepoint analysis of ChIP-Seq data of lamin B. Biochimica et biophysica acta / Proteins and proteomics, 1844(1A), 138-144. doi:10.1016/j.bbapap.2013.09.001.

Hoffmann, J.-E., Fermin, Y., Lo Stricker, R., Ickstadt, K., & Zamir, E. (2014). Symmetric exchange of multi-protein building blocks between stationary focal adhesions and the cytosol. eLife, 3, e02257_1-e02257_18. doi:10.7554/eLife.02257.

Klein, H.-U., Schäfer, M., Porse, B. T., Hasemann, M. S., Ickstadt, K., & Dugas, M. (2014). Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models. Bioinformatics, 30(8), 1154-1162. doi:10.1093/bioinformatics/btu003.

Köllmann, C., Bornkamp, B., & Ickstadt, K. (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 with piecewise unimodal, mixture or additive regression. Technical report / Collaborative Research Center 876 Availability of information through analysis under resource constraints (Vol. 8). Dortmund.

Malina, M., Ickstadt, K., Schwender, 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. doi:10.1515/sagmb-2013-0028.

Selinski, S., Blaszkewicz, M., Ickstadt, K., Hengstler, J. G., & Golka, K. (2014). Improvements in algorithms for phenotype inference: the NAT2 example. Current drug metabolism, 15(2), 233-249. doi:10.2174/1389200215666140202215717.

Sturtz, S., & Ickstadt, K. (2014). Comparison of Bayesian methods for flexible modeling of spatial risk surfaces in disease mapping. Biometrical journal, 56(1), 5-22. doi:10.1002/bimj.201200176

2013

Garding, A., Bhattacharya, N., Haebe, S., Müller, F., Weichenhan, D., Idler, I., et al. (2013). TCL1A and ATM are coexpressed in chronic lymphocytic leukemia cells without deletion of 11q. Haematologica, the hematology journal, 98(2), 269-273. doi:10.3324/haematol.2012.070623.

Goeken, N., Ickstadt, K., Bücker-Nott, H.-J., Wilhelm, M., & Hölzer, J. (2013). Studies on the impact of elevated exposures to perfluorinated compounds in drinking water on human health: a spatial analysis of obstetric data in NRW. Public Health, 75, P65. doi:10.1055/s-0033-1337596.

Goeken, N., Ickstadt, K., Schäfer, M., Bücker-Nott, H.-J., Wilhelm, M., & Hölzer, J. (2013a). Studies on the impact of elevated exposures to perfluorinated compounds in drinking water on human health - a spatial analysis of obstetric data in NRW. In GMDS 2013: annual meeting of the German Society for Medical Informatics, Biometry and Epidemiology e.V. (GMDS) ; Lübeck, 01-05.09.2013. doi:10.3205/13gmds222.

Goeken, N., Ickstadt, K., Schäfer, M., Bücker-Nott, H.-J., Wilhelm, M., & Hölzer, J. (2013b). Studies on the impact of elevated exposures to perfluorinated compounds in drinking water on human health: a spatial analysis of obstetric data in NRW. In H. Handels & J. Ingenerf (Eds.), In focus life: interdisciplinary research for patient care of the future ; 01-05 September 2013, Lübeck.

Goeken, N., Ickstadt, K., Schäfer, M., Bücker-Nott, H.-J., Wilhelm, M., & Hölzer, J. (2013c). Statistical approaches to evaluating the association between mother's exposure to perfluoroalkyl substances (PFASs) and birth outcome in North-Rhine Westphalia. In Abstracts of the 2013 Conference of the International Society of Environmental Epidemiology (ISEE), the International Society of Exposure Science (ISES), and the International Society of Indoor Air Quality and Climate (ISIAQ). https://ehp.niehs.nih.gov/isee/p-2-14-01/

Golka, K., Ickstadt, K., Selinski, S., Hengstler, J. G., & Wilhelm, M. (2013). Second symposium on Environmental Toxicology in North Rhine-Westphalia, Germany-interdisciplinary research activities in toxicology, statistics, hygiene and medicine: meeting report on a symposium held in Dortmund May 19-20, 2011. Archives of toxicology, 87(3), 555-561. doi:10.1007/s00204-013-1014-8.

Ickstadt, K. (2013). Bioabundance: ecological statistics. In A. H. El-Shaarawi & W. W. Piegorsch (Eds.), Encyclopedia of environmetrics. doi:10.1002/9780470057339.vab013.pub2.

Selinski, S., Blaszkewicz, M., Ickstadt, K., Hengstler, J. G., & Golka, K. (2013). Refinement of the prediction of N-acetyltransferase 2 (NAT2) phenotypes with respect to enzyme activity and urinary bladder cancer risk. Archives of toxicology, 87(12), 2129-2139. doi:10.1007/s00204-013-1157-7.

2012

Binder, H., Müller, T., Schwender, H., Golka, K., Steffens, M., Hengstler, J. G., et al. (2012). Cluster-localized sparse logistic regression for SNP data. Statistical applications in genetics and molecular biology, 11(4), 13_1-13_31. doi:10.1515/1544-6115.1694.

Flenker, U., Geppert, L. N., & Ickstadt, K. (2012). Validity of stable isotope data in doping control: perspectives and proposals. Drug testing and analysis, 4(12), 934-941. doi:10.1002/dta.1398.

Freis, E., Selinski, S., Hengstler, J. G., & Ickstadt, K. (2012). Cluster analytic strategy for identification of metagenes relevant for prognosis of node negative breast cancer. In W. A. Gaul, A. Geyer-Schulz, L. Schmidt-Thieme, & J. Kunze (Eds.), Challenges at the interface of data analysis, computer science, and optimization: proceedings of the 34th Anual Conference of the Gesellschaft für Klassifikation e.V., Karlsruhe, Germany, July 21 - 23, 2010 (pp. 475-483). doi:10.1007/978-3-642-24466-7_48

Golka, K., Ickstadt, K., Selinski, S., Hengstler, J. G., & Wilhelm, M. (2012a). Second symposium on interdisciplinary activities in environmental toxicology in North Rhine-Westphalia, Germany. Journal of toxicology and environmental health / A, 75(8-10), 413. doi:10.1080/15287394.2012.674904.

Golka, K., Ickstadt, K., Selinski, S., Hengstler, J. G., & Wilhelm, M. (2012b). Second symposium on interdisciplinary activities in environmental toxicology in North Rhine-Westphalia, Germany: part two. Journal of toxicology and environmental health / A, 75(19-20), 1175. doi:10.1080/15287394.2012.707601.

Ickstadt, K. (2012). Bioabundance: ecological statistics. In A. H. El-Shaarawi & W. W. Piegorsch (Eds.), Encyclopedia of environmetrics: volume 1, Abi-Con (Vol. 1, pp. 210-212).

Lohr, M., Köllmann, C., Freis, E., Hellwig, B., Hengstler, J. G., Ickstadt, K., & Rahnenführer, J. (2012). Optimal strategies for sequential validation of significant features from high-dimensional genomic data. Journal of toxicology and environmental health / A, 75(8-10), 447-460. doi:10.1080/15287394.2012.674912.

Schäfer, M., Lkhagvasuren, O., Klein, H.-U., Elling, C., Wüstefeld, T., Müller-Tidow, C., et al. (2012). Integrative analyses for omics data: a Bayesian mixture model to assess the concordance of ChIP-chip and ChIP-seq measurements. Journal of toxicology and environmental health / A, 75(8-10), 461-470. doi:10.1080/15287394.2012.674914.

Schwender, H., Selinski, S., Blaszkewicz, M., Marchan, R., Ickstadt, K., Golka, K., & Hengstler, J. G. (2012). Distinct SNP combinations confer susceptibility to urinary bladder cancer in smokers and non-smokers. PLoS one, 7(12), e51880_1-e51880_12. doi:10.1371/journal.pone.0051880.

Selinski, S., Lehmann, M.-L., Blaszkewicz, M., Ovsiannikov, D., Moormann, O., Guballa, C., et al. (2012). Rs11892031[A] on chromosome 2q37 in an intronic region of the UGT1A locus is associated with urinary bladder cancer risk. Archives of toxicology, 86(9), 1369-1378. doi:10.1007/s00204-012-0854-y.

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