Publikationen
2024
Tug, T., Duda, J. C., Menssen, M.,Wilson Bruce,S., Bringezu, F., Dammann, M. , Frötschl, R. , Harm, V., Ickstadt, K. et al. In vivo alkaline comet assay: Statistical considerations on historical negative and positive control data (2024) Regulatory Toxicology and Pharmacology; Volume 148
2023
Rathjens, J., Kolbe, A., Hölzer, J., Ickstadt, K., & Klein, N. (2023) Bivariate Analysis of Birth Weight and Gestational Age Depending on Environmental Exposures: Bayesian Distributional Regression with Copulas, Statistics in Biosciences,
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
Hemker, F., Haselhoff, T., Brunner, S., Lawrence, B.T., Ickstadt, K., Moebus, S. 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
Friedrich, S., Groll, A., Ickstadt, K., Kneib, T., Pauly, M., Rahnenführer, J., Friede, T. Regularization approaches in clinical biostatistics: A review of methods and their applications, 2023, Statistical Methods in Medical Research, 32 (2), 425-440.
2022
Geppert, L. N., Ickstadt, K., Karl, F., Münch, J., & Steinbrecher, M. (2022). Visualising Complex Data Within a Data Science Loop: A Spatio-Temporal Example from Football. In Artificial Intelligence, Big Data and Data Science in Statistics: Challenges and Solutions in Environmetrics, the Natural Sciences and Technology (pp. 301-319). Cham: Springer International Publishing. DOI:10.1007/978-3-031-07155-3_13
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. https://doi.org/ 10.3390/w15010159
Weber, F., Ickstadt, K., & Glass, Ä. (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
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 modelling with conditional autoregressive random effects for epidemiological and spatially referenced data (Publisher’s Version) [Universitätsbibliothek Dortmund]. https://doi.org/10.17877/de290r-22855
Ickstadt, K., Müller, H., & Weinert, H. (2022). Data Literacy. In C. Weihs (Ed.), Statistische Datenanalyse im Journalismus (Publisher’s Version, 1st ed., pp. 29–42). Springer VS. https://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). Lernverfahren der Künstlichen Intelligenz zur Inwertsetzung von Daten: automatisierte Erkennung und Prognose. In M. Ten Hompel, M. Henke, & B. Otto (Eds.), Silicon Economy (Publisher’s Version, pp. 229–250). Springer Vieweg. https://doi.org/10.1007/978-3-662-63956-6_11
J Kupschus, S Janssen, A Hoek, J Kuska, J Raethjens, C Sonntag, K Ickstadt, L Budzinski, C Hyun-Dong, A Rossi, C Esser, K Hochrath (2022). 549 Robust detection of microbial patterns on different skin regions by flow cytometry, Journal of Investigative Dermatology, 142 (8), Elsevier.
Lau, M., Wigmann, C., Kress, S., Schikowski, T., & Schwender, H. (2022). Evaluation of tree-based statistical learning methods for constructing genetic risk scores [OnlineRessource]. BMC Bioinformatics, 23, Article 97. https://doi.org/10.1186/s12859-022-04634-w
Madjar, K., Zucknick, M., Ickstadt, K., & Rahnenführer, J. (2021). Correction to: Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression.. BMC Bioinformatics, 22, Article 586.
Riehl, J., Fritsch, A., Ickstadt, K. (2022). Shrinkage Estimation Methods for Subgroup Analyses, Statistics in Biopharmaceutical Research, 1-20, https://doi.org/10.1080/19466315.2022.2144943
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. https://doi.org/10.1002/pst.2150
2021
Braun, Nicole, Hunsdieck, Berit, Theek, Carmen, Ickstadt, Katja, Heinrich, Ulrike (2021). Exercises and Skin Physiology During International Space Station Expeditions, Aerospace Medicine and Human Performance, 92 (3, 160-166. https://doi.org/10.3357/AMHP.5717.2021
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. https://doi.org/10.1007/s11634-021-00455-6
Heinrich, J., Maurer, R., Leckey, K., Müller, C. H., & Ickstadt, K. (2021). Detektieren ermüdungsbedingter Spannstahlbrüche mittels Rissmonitoring im Versuch und am Bauwerk. Bauingenieur, 96(3), 92–101. https://doi.org/10.37544/0005-6650-2021-03-60
Kupschus, J., Rathjens, J., Ickstadt, K., Janssen, S., Esser, C., Hochrath, K. (2021).FlowSoFine-an analyzing tool for microbial pattern changes detected by flow cytometry, Zeitschrift für Gastroenterologie, 59 (8)
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. https://doi.org/10.1186/s12859-021-04483-z
Parry, K., Geppert, Leo N., Munteanu, A., Ickstadt, K. (2021). Cross-Leverage Scores for Selecting Subsets of Explanatory Variables , arXiv, https://doi.org/10.48550/arXiv.2109.08399
Rathjens, J. (2021). River-mediated dynamic environmental factors and perinatal data analysis (Publisher’s Version) [Universitätsbibliothek Dortmund]. https://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. https://doi.org/10.1007/s00477-020-01932-8
Rathjens, J., Kolbe, A., Hölzer, J., Ickstadt, K., & Klein, N. (2021) Bivariate Analysis of Birth Weight and Gestational Age Depending on Environmental Exposures: Bayesian Distributional Regression with Copulas, arXiv, https://doi.org/10.48550/arXiv.2104.14243
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. https://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. https://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
Kupschus, J., Dauzenroth, N., Rathjens, J., Ickstadt, K., Janssen, S., Esser, C., Hochrath, K. (2020). A novel tool for analysing microbial pattern changes detected by flow cytometry, Zeitschrift für Gastroenterologie, 58 (8).
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 Medizinische Informatik, Biometrie und Epidemiologie, 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.; [Diskussionsbeitrag]. Bayesian analysis, 15(1), 302–306. doi:10.1214/18-ba1141
S Selinski, M Blaszkewicz, J Reinders, K Ickstadt, JG Hengstler, K Golka (2020). Prediction of N-acetyltransferase 2 (NAT2) slow and ultra-slow genotypes by two tagging SNPs available on SNP chips, NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY, 393.
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, Ä., 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, Ä. (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). Die Angst der Spieler beim Elfmeter: Welcher Schütze und welcher Torwart sind die Besten? In W. Krämer & C. Weihs (Eds.), Faszination Statistik: Einblicke in aktuelle Forschungsfragen und Erkenntnisse (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 modelling 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 / Gesellschaft für Angewandte Mathematik und Mechanik, 42(1), e201900007_1–e201900007_15. doi:10.1002/gamm.201900007
Selinski, S., Ickstadt, K., & Golka, K. (2019). Mit Statistik dem Wirken der Gene auf der Spur. In W. Krämer & C. Weihs (Eds.), Faszination Statistik: Einblicke in aktuelle Forschungsfragen und Erkenntnisse (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 (1. ed.). Cham: Springer. https://www.springer.com/gp/book/9783030251468
Weihs, C., & Ickstadt, K. (2019). Ist Data Science mehr als Statistik? Ein Blick über den Tellerrand. In W. Krämer & C. Weihs (Eds.), Faszination Statistik: Einblicke in aktuelle Forschungsfragen und Erkenntnisse (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 colour 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). Die Rolle von Genen der Melatonin-Biosynthese bei der Entstehung von Brustkrebs. In P. Angerer & T. Muth (Eds.), 58. Wissenschaftliche Jahrestagung 2018 der Deutschen Gesellschaft für Arbeitsmedizin und Umweltmedizin e.V.: Dokumentation der Vorträge und Poster (pp. 161–162).
2017
D. Djeudeu, S. Moebus, K. Ickstadt (2017). Spatial and temporal variation in the Heinz Nixdorf Recall data and their effects on the risk of depression at the district level, Das Gesundheitswesen, 79 (08/09)
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). Erratum to: 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, 1
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.
Harizanova, J., Fermin, Y., Malik-Sheriff, R.S., Wieczorek, J., Ickstadt, K., Grecco, H.E., Zamir, E. (2016). Highly multiplexed imaging uncovers changes in compositional noise within assembling focal adhesions, Plos one, 11 (8)
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: modelling multimodality with piecewise unimodal regession 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 modelling 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
Schwender, H., Selinski, S., Blaszkewicz, M., Marchan, R., Ickstadt, K., Golka, K., & Hengstler, J. G. (2015). Correction: distinct SNP combinations confer susceptibility to urinary bladder cancer in smokers and non-smokers. PLoS one, 10 (9)
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: modelling multimodality with piecewise unimodal, mixture or additive regression. Technical report / Sonderforschungsbereich 876 Verfügbarkeit von Information durch Analyse unter Ressourcenbeschränkung (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). Untersuchungen zur Auswirkung erhöhter Expositionen gegenüber perfluorierten Verbindungen im Trinkwasser auf die menschliche Gesundheit: eine räumliche Analyse geburtshilflicher Daten in NRW. Das Gesundheitswesen, 75, P65. doi:10.1055/s-0033-1337596
Goeken, N., Ickstadt, K., Schäfer, M., Bücker-Nott, H.-J., Wilhelm, M., & Hölzer, J. (2013a). Untersuchungen zur Auswirkung erhöhter Expositionen gegenüber perfluorierten Verbindungen im Trinkwasser auf die menschliche Gesundheit - eine räumliche Analyse geburtshilflicher Daten in NRW. In GMDS 2013: Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie 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). Untersuchungen zur Auswirkung erhöhter Expositionen gegenüber perfluorierten Verbindungen im Trinkwasser auf die menschliche Gesundheit: eine räumliche Analyse geburtshilflicher Daten in NRW. In H. Handels & J. Ingenerf (Eds.), Im Focus das Leben: interdisziplinäre Forschung für die Patientenversorgung der Zukunft ; 01. bis 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
Duydu, Y., Başaran, N., Üstündağ, A., Aydın, S. Ündeğer, Ü., Ataman, O. Y., Aydos, K., Düker, Y., Ickstadt, K. et al. (2012) Assessment of DNA integrity (COMET assay) in sperm cells of boron-exposed workers, Archives of toxicology, 86, 27-35
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, 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: Band 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
Selinski, S., Lehmann, M.-L., Blaszkewicz, M., Ovsiannikov, D., Moormann, O., Guballa, C., et al. (2012) Urinary bladder cancer risk in relation to a single nucleotide polymorphism (rs2854744) in the insulin-like growth factor-binding protein-3 (IGFBP3) gene, Archives of toxicology, 86, 195-203
2011
Duydu, Y., Başaran, N., Üstündağ, A., Aydın, S., Ündeğer, Ü., Ataman, O. Y., et al. (2011). Reproductive toxicity parameters and biological monitoring in occupationally and environmentally boron-exposed persons in Bandırma, Turkey. Archives of toxicology, 85(6), 589–600. doi:10.1007/s00204-011-0692-3
Golka, K., Selinski, S., Lehmann, M.-L., Blaszkewicz, M., Marchan, R., Ickstadt, K., et al. (2011). Genetic variants in urinary bladder cancer: collective power of the “wimp SNPs.” Archives of toxicology, 85(6), 539–554. doi:10.1007/s00204-011-0676-3
Ickstadt, K., Bornkamp, B., Grzegorczyk, M., Wieczorek, J., Sheriff, M. R., Grecco, H. E., & Zamir, E. (2011). Nonparametric Bayesian networks. In J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, & M. West (Eds.), Bayesian Statistics 9: proceedings of the Ninth Valencia International Meeting; June 3 - 8, 2010 (pp. 283–316). doi:10.1093/acprof:oso/9780199694587.003.0010
Pesch, B., Nasterlack, M., Eberle, F., Bonberg, N., Taeger, D., Leng, G., et al. (2011). The role of haematuria in bladder cancer screening among men with former occupational exposure to aromatic amines. BJU international, 108(4), 1–7. doi:10.1111/j.1464-410X.2010.09971.x
Schmidt, M., Petry, I. B., Böhm, D., Lebrecht, A., von Törne, C., Gebhard, S., et al. (2011). Ep-CAM RNA expression predicts metastasis-free survival in three cohorts of untreated node negative breast cancer. Breast cancer research and treatment, 125(3), 637–646. doi:10.1007/s10549-010-0856-5
Schwender, H., Ruczinski, I., & Ickstadt, K. (2011). Testing SNPs and sets of SNPs for importance in association studies. Biostatistics, 12(1), 18–32. doi:10.1093/biostatistics/kxq042
Selinski, S., Blaszkewicz, M., Lehmann, M.-L., Ovsiannikov, D., Moormann, O., Guballa, C., et al. (2011). Genotyping NAT2 with only two SNPs (rs1041983 and rs1801280) outperforms the tagging SNP rs1495741 and is equivalent to the conventional 7-SNP NAT2 genotype. Pharmacogenetics and genomics, 21(10), 673–678. doi:10.1097/FPC.0b013e3283493a23
Springer, T., Ickstadt, K., & Stöckler, J. (2011). Frame potential minimization for clustering short time series. Advances in data analysis and classification, 5(4), 341–355. doi:10.1007/s11634-011-0097-4
2010
Bornkamp, B., Ickstadt, K., & Dunson, D. (2010). Stochastically ordered multiple regression. Biostatistics, 11(3), 419–431. doi:10.1093/biostatistics/kxq001
Cadenas, C., Franckenstein, D., Schmidt, M., Gehrmann, M. C., Hermes, M., Geppert, B., et al. (2010). Role of thioredoxin reductase 1 and thioredoxin interacting protein in prognosis of breast cancer. Breast cancer research, 12(3), R44_1–R44_15. doi:10.1186/bcr2599
Kracker, H., Bornkamp, B., Kuhnt, S., Gather, U., & Ickstadt, K. (2010). Uncertainty in Gaussian process interpolation. In L. Devroye, B. Karasözen, M. Kohler, & R. Korn (Eds.), Recent developments in applied probability and statistics: dedicated to the memory of Jürgen Lehn; invited papers that were presented at the Workshop on Recent Developments in Applied Probability and Statistics Dedicated to the Memory of Professor Jürgen Lehn, Middle East Technical University (METU), Ankara, April 23 - 24, 2009 (pp. 79–102).
Lehmann, M. L., Selinski, S., Blaszkewicz, M., Orlich, M., Ovsiannikov, D., Moormann, O. et al . (2010) Rs710521[A] on chromosome 3q28 close to TP63 is associated with increased urinary bladder cancer risk, Archives of toxicology, 84, 967-978
Müller, T., Schiffner, J., Schwender, H., Szepannek, G., Weihs, C., & Ickstadt, K. (2010). Local analysis of SNP data. In H. Locarek-Junge & C. Weihs (Eds.), Classification as a tool for research: proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009 (pp. 473–480).
Petry, I. B., Fieber, E., Schmidt, M., Gehrmann, M. C., Gebhard, S., Hermes, M., et al. (2010). ERBB2 induces an antiapoptotic expression pattern of Bcl-2 family members in node-negative breast cancer. Clinical cancer research, 16(2), 451–460.
2009
Bornkamp, B., Fritsch, A., Kuss, O., & Ickstadt, K. (2009). Penalty specialists among goalkeepers: a nonparametric Bayesian analysis of 44 years of German Bundesliga. In B. Schipp & W. Krämer (Eds.), Statistical inference, econometric analysis and matrix algebra: festschrift in honour of Götz Trenkler (pp. 63–76).
Bornkamp, B., & Ickstadt, K. (2009a). Bayesian nonparametric estimation of continuous monotone functions with applications to dose-response analysis. Biometrics, 65(1), 198–205. doi:10.1111/j.1541-0420.2008.01060.x
Bornkamp, B., & Ickstadt, K. (2009b). A note on B-splines for semiparametric elicitation. The American statistician, 63(4), 373–377. doi:10.1198/tast.2009.08191
Freis, E., Selinski, S., Weibert, B., Krahn, U., Schmidt, M., Gehrmann, M. C., et al. (2009). Effects of metagene calculation on survival: an integrative approach using cluster and promoter analysis. In T. Manninen, C. Wiuf, H. Lähdesmäki, M. Grzegorczyk, J. Rahnenführer, M. Ahdesmäki, et al. (Eds.), Sixth International Workshop on Computational Systems Biology (WCSB 2009): June 10 - 12, 2009, Aarhus, Denmark (pp. 47–50).
Fritsch, A., & Ickstadt, K. (2009). Improved criteria for clustering based on the posterior similarity matrix. Bayesian analysis, 4(2), 367–392. doi:10.1214/09-BA414
Golka, K., Hermes, M., Selinski, S., Blaszkewicz, M., Bolt, H. M., Roth, G., et al. (2009). Susceptibility to urinary bladder cancer: relevance of rs9642880[T], GSTM1 0/0 and occupational exposure. Pharmacogenetics and genomics, 19(11), 903–906. doi:10.1097/FPC.0b013e328331b554
Podwojski, K., Fritsch, A., Chamrad, D., Paul, W. J., Sitek, B., Stühler, K., et al. (2009). Retention time alignment algorithms for LC/MS data must consider non-linear shifts. Bioinformatics, 25(6), 758–764.
Schäfer, M., Schwender, H., Merk, S., Haferlach, C., Ickstadt, K., & Dugas, M. (2009). Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. Bioinformatics, 25(24), 3228–3235. doi:10.1093/bioinformatics/btp592
2008
Binner, C., Selinski, S., Barysch, M. J., Pölcher, C., Schormann, W., Hermes, M., et al. (2008). Munich Oktoberfest experience: remarkable impact of sex and age in ethanol intoxication. Archives of toxicology, 82(12), 933–939. doi:10.1007/s00204-008-0373-z
Daumer, M., Held, U., Ickstadt, K., Heinz, M., Schach, S., & Ebers, G. (2008). Reducing the probability of false positive research findings by pre-publication validation: experience with a large multiple sclerosis database. BMC medical research methodology, 8, 18_1–18_7. doi:10.1186/1471-2288-8-18
Harth, V., Schäfer, M., Abel, J., Maintz, L., Neuhaus, T., Besuden, M., et al. (2008). Head and neck squamous-cell cancer and its association with polymorphic enzymes of xenobiotic metabolism and repair. Journal of toxicology and environmental health / A, 71(13-14), 887–897. doi:10.1080/15287390801988160
Ickstadt, K., Schäfer, M., Fritsch, A., Schwender, H., Abel, J., Bolt, H. M., et al. (2008). Statistical methods for detecting genetic interactions: a head and neck squamous-cell cancer study. Journal of toxicology and environmental health / A, 71(11-12), 803–815. doi:10.1080/15287390801985745
Justenhoven, C., Hamann, U., Schubert, F., Zapatka, M., Pierl, C. B., Rabstein, S., et al. (2008). Breast cancer: a candidate gene approach across the estrogen metabolic pathway. Breast cancer research and treatment, 108(1), 137–149. doi:10.1007/s10549-007-9586-8
Müller, T., Schwender, H., & Ickstadt, K. (2008). Finding SNP interactions. In M. Ahdesmäki, K. Strimmer, N. Radde, J. Rahnenführer, K. Klemm, H. Lähdesmäki, & O. Yli-Harja (Eds.), Fifth International Workshop on Computational Systems Biology: WCSB 2008; June 11-13, 2008 Leipzig, Germany; proceedings (pp. 109–112).
Podwojski, K., Fritsch, A., Chamrad, D. C., Paul, W., Mutzel, P., Ickstadt, K., & Rahnenführer, J. (2008). A retention time alignment algorithm for LC/MS data. In M. Ahdesmäki, K. Strimmer, N. Radde, J. Rahnenführer, K. Klemm, H. Lähdesmäki, & O. Yli-Harja (Eds.), Fifth International Workshop on Computational Systems Biology: WCSB 2008; June 11-13, 2008 Leipzig, Germany; proceedings (pp. 129–132).
Schwender, H., & Ickstadt, K. (2008a). Empirical Bayes analysis of single nucleotide polymorphisms. BMC bioinformatics, 9, 144_1–144_15. doi:10.1186/1471-2105-9-144
Schwender, H., & Ickstadt, K. (2008b). Identification of SNP interactions using logic regression. Biostatistics, 9(1), 187–198. doi:10.1093/biostatistics/kxm024
Schwender, H., Ickstadt, K., & Rahnenführer, J. (2008). Classification with high-dimensional genetic data: assigning patients and genetic features to known classes. Biometrical journal, 50(6), 911–926.
Selinski, S., & Ickstadt, K. (2008). Cluster analysis of genetic and epidemiological data in molecular epidemiology. Journal of toxicology and environmental health / A, 71(11-12), 835–844. doi:10.1080/15287390801985828
Taeger, D., Krahn, U., Wiethege, T., Ickstadt, K., Johnen, G., Eisenmenger, A., Wesch, H., Pesch, B., et al. (2008). A study on lung cancer mortality related to radon, quartz, and arsenic exposures in German uranium miners. Journal of toxicology and environmental health / A, 71(13-14), 859–865. doi:10.1080/15287390801987972
Taeger, D., Krahn, U., Wiethege, T., Ickstadt, K., Johnen, G., Eisenmenger, A., Wesch, H., Brüning, T., et al. (2008). Lungenkrebsrisiko von deutschen Uranbergarbeitern durch berufliche Exposition gegenüber Radon, Quarz und Arsen. Arbeitsmedizin, Sozialmedizin, Umweltmedizin, 43, 143.
2007
Fritsch, A., & Ickstadt, K. (2007). Comparing logic regression based methods for identifying SNP interactions. In S. Hochreiter & R. Wagner (Eds.), Bioinformatics research and development: first international conference, BIRD 2007, Berlin, Germany, March 12-14, 2007; proceedings (pp. 90–103). doi:10.1007/978-3-540-71233-6_8
Nunkesser, R., Bernholt, T., Schwender, H., Ickstadt, K., & Wegener, I. (2007). Detecting high-order interactions of single nucleotide polymorphisms using genetic programming. Bioinformatics, 23(24), 3280–3288. doi:10.1093/bioinformatics/btm522
Sturtz, S., & Ickstadt, K. (2007). A descriptive and model-based spatial comparison of the standardised mortality ratio and the age-standardised mortality rate. Geospatial health, 1(2), 255–266. doi:10.4081/gh.2007.273
Taeger, D., Krahn, U., Wiethege, T., Ickstadt, K., Johnen, G., Eisenmenger, A., et al. (2007a). Risk of lung cancer related to radon, quartz ans arsenic exposures in German uranium miners. Symposium on Epidemiology in Occupational Health: Proceedings, 19, 15.
Taeger, D., Krahn, U., Wiethege, T., Ickstadt, K., Johnen, G., Eisenmenger, A., et al. (2007b). Risk of lung cancer related to radon, quartz ans arsenic exposures in German uranium miners. Bochum. http://www.ipa.ruhr-uni-bochum.de/image/poster/229.pdf
2006
Ickstadt, K., Müller, T., & Schwender, H. (2006). Analyzing SNPs: are there needles in the haystack? Chance, 19(3), 21–26. doi:10.1080/09332480.2006.10722798
Schwender, H., Krause, A., & Ickstadt, K. (2006). Identifying interesting genes with siggenes. R News, 6(5), 45–50. https://cran.r-project.org/doc/Rnews/Rnews_2006-5.pdf
Schwender, H., Rabstein, S., & Ickstadt, K. (2006). Do you speak genomish? Chance, 19(3), 3–8. doi:10.1080/09332480.2006.10722794
Spickenheuer, A., van Treeck, U., Schürmann, C., Sturtz, S., & Ickstadt, K. (2006). Anwendung des SSVS-Verfahrens zur Modellfindung am Beispiel der zeitlichen Modellierung von Meldefällen der Campylo-bacteriose. Deutsche Gesellschaft für Epidemiologie: Abstracts, 1, 18.
2004
Schwender, H., Zucknick, M., Ickstadt, K., & Bolt, H. M. (2004). A pilot study on the application of statistical classification procedures to molecular epidemiological data. Toxicology letters, 151(1), 291–299. doi:10.1016/j.toxlet.2004.02.021
Wolpert, R. L., & Ickstadt, K. (2004). Reflecting uncertainty in inverse problems: a Bayesian solution using Lévy processes. Inverse problems, 20(6), 1759–1771. doi:10.1088/0266-5611/20/6/004
2003
Wolpert, R. L., Ickstadt, K., & Hansen, M. B. (2003). A nonparametric Bayesian approach to inverse problems. In J. M. Bernardo, M. J. Bayarri, J. O. Berger, A. P. Dawid, D. Heckerman, A. F. M. Smith, & M. West (Eds.), Bayesian Statistics 7: proceedings of the Seventh Valencia International Meeting; dedicated to Dennis V. Lindley; June 2 - 6, 2002 (pp. 403–417). http://ftp.stat.duke.edu/WorkingPapers/02-11.pdf
2002
Best, N. G., Ickstadt, K., Wolpert, R. L., Cockings, S., Elliott, P., Benett, J., et al. (2002). Modeling the impact of traffic-related air pollution on childhood respiratory illness. In C. Gatsonis, R. E. Kass, B. Carlin, A. Carriquiri, A. Gelman, I. Verdinelli, & M. West (Eds.), Case studies in Bayesian statistics: volume V; the 5th Workshop on Case Studies in Bayesian Statistics was held at the Carnegie Mellon University campus on September 24 - 25, 1999 (Vol. 5, pp. 183–259). doi:10.1007/978-1-4613-0035-9_3
Ickstadt, K. (2002). Bioabundance: ecological statistics. In A. H. El-Shaarawi & W. W. Piegorsch (Eds.), Encyclopedia of environmetrics: Band 1, A - D (Vol. 1, pp. 177–179).
2001
Best, N. G., Ickstadt, K., Wolpert, R. L., & Briggs, D. J. (2001). Combining models of health and exposure data: the SAVIAH study. In P. Elliott, J. Wakefield, N. G. Best, & D. J. Briggs (Eds.), Spatial epidemiology: methods and applications (pp. 393–414).
Ickstadt, K. (2001). On hierarchical point process models in spatial statistics, Habilitation, Fachbereich Mathematik, Technische Universität Darmstadt.
2000
Best, N. G., Ickstadt, K., & Wolpert, R. L. (2000). Spatial Poisson regression for health and exposure data measured at disparate resolutions. Journal of the American Statistical Association, 95(452), 1076–1088. doi:10.2307/2669744
Hansen, M.B., Ickstadt, K., Wolpert, R. L., Durham, N.C. (2000). Inverse problems and a Lévy process solution, ISDS Discussion Paper 00-30, Duke University
1999
Best, N. G., Ickstadt, K., & Wolpert, R. L. (1999). Bayesian analysis of agricultural field experiments: discussion on the paper by [Julian] Besag and [David] Higdon; [Diskussionsbeitrag]. Journal of the Royal Statistical Society / B, 61(4), 728–729. doi:10.1111/1467-9868.00201/epdf
Ickstadt, K., & Wolpert, R. L. (1999). Spatial regression for marked point processes. In J. M. Bernardo, J. O. Berger, A. P. Dawid, & A. F. M. Smith (Eds.), Bayesian statistics 6: proceedings of the Sixth Valencia International Meeting, June 6 - 10, 1998 (pp. 323–341). http://ftp.stat.duke.edu/WorkingPapers/98-22.pdf
1998
Ickstadt, K., Wolpert, R. L., & Lu, X. (1998). Modeling travel demand in Portland, Oregon. In D. Dey, P. Müller, & D. Sinha (Eds.), Practical nonparametric and semiparametric Bayesian statistics (pp. 305–322). doi:10.1007/978-1-4612-1732-9_17
Wolpert, R. L., & Ickstadt, K. (1998a). Poisson/gamma random field models for spatial statistics. Biometrika, 85(2), 251–267. doi:10.1093/biomet/85.2.251
Wolpert, R. L., & Ickstadt, K. (1998b). Simulation of Lévy random fields. In D. Dey, P. Müller, & D. Sinha (Eds.), Practical nonparametric and semiparametric Bayesian statistics (pp. 227–242). doi:10.1007/978-1-4612-1732-9_12
1997
Ickstadt, K., & Wolpert, R. L. (1997). Multiresolution assessment of forest inhomogeneity. In C. Gatsonis, J. S. Hodges, R. E. Kass, R. McCulloch, P. Rossi, & N. D. Singpurwalla (Eds.), Case studies in Bayesian statistics: volume 3; papers were presented and discussed at a workshop at Carnegie Mellon University, October 5 - 7, 1995 (Vol. 3, pp. 371–385). doi:10.1007/978-1-4612-2290-3_10
1996
Ickstadt, K. (1996). Local sensitivity analysis in Bayesian decision theory: discussion. In J. O. Berger, B. Betrò, E. Moreno, L. R. Pericchi, F. Ruggeri, G. Slinetti, & L. Wasserman (Eds.), Bayesian robustness: proceedings of the Workshop on Bayesian Robustness, May 22-May 25, 1995, Rimini, Italy (pp. 133–134). http://www.jstor.org/stable/4355914
Ickstadt, K., Jin, S., & Polasek, W. (1996). Metropolis sampling in bilinear time series models. In H.-H. Bock & W. Polasek (Eds.), Data analysis and information systems: statistical and conceptual approaches; , University of Basel, March 8 – 10, 1995 (pp. 313–323). doi:10.1007/978-3-642-80098-6_26
1995
Ritter, M., Biber-Klemm, S., Ickstadt, K., Kocher-Schmid, C., & Stettler, N. (1995). Gesellschaftliche Wahrnehmung, Bewertung und Umsetzung von Biodiversität. Gaia, 4(4), 250–260.
1994
Eichenauer-Herrmann, J., & Ickstadt, K. (1994). Explicit inversive congruential pseudorandom numbers with power of two modulus. Mathematics of computation, 62(206), 787–797. doi:10.2307/2153539
Eichenauer-Herrmann, J., Ickstadt, K., & Weiß, E. (1994). Gamma-minimax results for the class of unimodal priors. Statistical papers, 35(1), 43–56. doi:10.1007/BF02926399
Ickstadt, K. (1994). Multivariate Parameterschätzung bei Klassen von verallgemeinerten unimodalen a priori Verteilungen, Dissertation, Fachbereich Mathematik, Technische Universität Darmstadt.
1993
Eichenauer-Herrmann, J., & Ickstadt, K. (1993). A saddle point characterization for classes of priors with shape-restricted densities. Statistics & decisions, 11, 175–179. doi:10.1524/strm.1993.11.2.175
Ickstadt, K. (1993). Existence and characterization of saddle points in statistical games for classes of generalized unimodal priors. In Conference proceedings, 8-th European Young Statisticians Meeting: Palanga, September 5 - 12, 1993 (pp. 51–55).
1992
Eichenauer-Herrmann, J., & Ickstadt, K. (1992). Minimax estimators for a bounded location parameter. Metrika, 39(1), 227–237. doi:10.1007/BF02614006
Ickstadt, K. (1992). Gamma-minimax estimators with respect to unimodal priors. In P. Gritzmann, R. Hettich, R. Horst, & E. Sachs (Eds.), Operations research ’91: extended abstracts of the 16th Symposium on Operations Research held at the University of Trier at September 9–11, 1991 (pp. 330–333).
Ickstadt, K. (2001), Habilitation: On hierarchical point process models in spatial statistics, 2001, supervised by Prof. J. Lehn.
Ickstadt, K. (1994), Dr. rer. nat. / Ph.D. , Technical University of Darmstadt, 1994 , Germany (Dissertation): Multivariate Parameterschätzung bei Klassen von verallgemeinerten unimodalen a priori Verteilungen, supervised by Prof. J. Lehn Technical University of Darmstadt.
Buchbesprechungen
- Ickstadt, K. (2003). Besprechung des Buches von Chen, M.-H., Shao, Q.-M. and Ibrahim, J.G.: Monte Carlo Methods in Bayesian Computations, Springer-Verlag, in Metrika 57, 97-98.
- Ickstadt, K. (2001). Diskussion des Buches von Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.-F. und Bertollini, R.: Disease Mapping and Risk Assessment for Public Health, John Wiley & Sons, in Statistics in Medicine 20, 983-984.
- Ickstadt, K. (2000). Diskussion des Buches von Müller, W.G. (1998): Collecting Spatial Data, Physica-Verlag, in Computational Statistics 15, 313-314.
Ausgewählte Technical Reports
- Schwender, H. und Ickstadt, K. (2008). Imputing missing genotypes with weighted k nearest neighbors, Technical Report 03/2008, SFB 475, Universität Dortmund
- Müller, T., Selinski, S. und Ickstadt, K. (2005), Cluster Analysis: A comparison of different similarity measures for SNP data, Technical Report 14/2005, SFB 475, Universität Dortmund.
- Schwender, H., Krause, A. und Ickstadt, K. (2003). Comparison of the empirical Bayes and the significance analysis of Microarrays, Technical Report 44/2003, SFB 475, Universität Dortmund.
- Selinski, S. und Ickstadt, K. (2005), Similarity measures for clustering SNP data, Technical Report 27/2005, SFB 475, Universität Dortmund.
- Ickstadt, K., Wolpert, R. L. (1996) Spatial correlation or spatial variation? a comparison of Gamma/Poisson hierarchical models, Technical report, Duke University, Institute of Statistics and Decision Sciences
Hennig, F., Lucht, S., Jöckel, K.H., Moebus, S., Ickstadt, K., Hoffmann, B. (2017), Data-based Structure Learning to Identify Confounders–Air Pollution and Progression of Subclinical Atherosclerosis, ISEE Conference Abstracts 29
Lehmann, L., Schmalbach, K., Tschiggfrei, K., Soukup, S.T., Hauptstein, R., Brückner, L., Kleider, C., Geppert, L. N., Köllmann, C., Kulling, S.E., Dandekar, T., Ickstadt, K., Eckert, P., Neshkova, I., Esch, H. L. (2016), Influence of soy isoflavones on metabolism and activity of 17beta-estradiol in human mammary gland, EUROTOX 2016 - 52st European Congress of the European Societies of Toxicology
C Kleider, D Pemp, R Hauptstein, K Schmalbach, ST Soukup, L Geppert, C Koellmann, P Eckert, I Neshkova, K Ickstadt, S Kulling, HL Esch, L Lehmann (2016) Correlations of tissue levels of soy isoflavones with 17beta-estradiol/estrone ratio in human mammoplasty specimen, Annual Meeting of the German Society for Experimental and Clinical Pharmacology and Toxicology (DGPT)
Hoffmann, J., Fermin, Y., Stricker, R.L., Ickstadt, K., Zamir, E (2015) Resolving the building blocks and self-assembly principles of cell-matrix adhesion sites, 14th CRGS Symposium Cellular Machineries
Selinski, S., Blaszkewicz, M., Ickstadt, K., Hengstler, J. G., & Golka, K. (2014), Impact of different slow N-acetyltransferase 2 haplotypes on in vivo phenotypes and urinary bladder cancer risk, Toxicology Letters, 229
Golka, K., Hermes, M., Selinski, S., Blaszkewicz, M., Bolt, H. M., Roth, G., et al. (2010) c-Myc related SNP rs9642880 [T], GSTM1 genotype and occupational exposure in urinary bladder cancer cases, Toxicology Letters 196S (2010) S37–S351