"Collecting Spatial Data" by W. G. Müller Physica-Verlag (1998), ISBN 3-7908-1134-3. - Katja Ickstadt (Comput. Stat., 2000)

Comparing Logic Regression Based Methods for Identifying SNP Interactions. - Arno Fritsch; Katja Ickstadt (BIRD, 2007)

Detecting high-order interactions of single nucleotide polymorphisms using genetic programming. - Robin Nunkesser; Thorsten Bernholt; Holger Schwender; Katja Ickstadt; Ingo Wegener (Bioinform., 2007)

Empirical Bayes analysis of single nucleotide polymorphisms. - Holger Schwender; Katja Ickstadt (BMC Bioinform., 2008)

Retention time alignment algorithms for LC/MS data must consider non-linear shifts. - Katharina Podwojski; Arno Fritsch; Daniel C. Chamrad; Wolfgang Paul 001; Barbara Sitek; Kai Stühler; Petra Mutzel; Christian Stephan; Helmut E. Meyer; Wolfgang Urfer; Katja Ickstadt; Jörg Rahnenführer (Bioinform., 2009)

Integrated analysis of copy number alterations and gene expression: a bivariate assessment of equally directed abnormalities. - Martin Schäfer; Holger Schwender; Sylvia Merk; Claudia Haferlach; Katja Ickstadt; Martin Dugas (Bioinform., 2009)

Cluster Analytic Strategy for Identification of Metagenes Relevant for Prognosis of Node Negative Breast Cancer. - Evgenia Freis; Silvia Selinski; Jan G. Hengstler; Katja Ickstadt (GfKl, 2010)

Frame potential minimization for clustering short time series. - Tobias Springer; Katja Ickstadt; Joachim Stöckler (Adv. Data Anal. Classif., 2011)

Integrative analysis of histone ChIP-seq and transcription data using Bayesian mixture models. - Hans-Ulrich Klein; Martin Schäfer; Bo T. Porse; Marie S. Hasemann; Katja Ickstadt; Martin Dugas (Bioinform., 2014)

Uncovering distinct protein-network topologies in heterogeneous cell populations. - Jakob Wieczorek; Rahuman S. Malik-Sheriff; Yessica Fermin; Hernán E. Grecco; Eli Zamir; Katja Ickstadt (BMC Syst. Biol., 2015)

A Bayesian mixture model to quantify parameters of spatial clustering. - Martin Schäfer; Yvonne Radon; Thomas Klein; Sabrina Herrmann; Holger Schwender; Peter J. Verveer; Katja Ickstadt (Comput. Stat. Data Anal., 2015)

A novel crossover operator based on variable importance for evolutionary multi-objective optimization with tree representation. - Swaantje Casjens; Holger Schwender; Thomas Brüning; Katja Ickstadt (J. Heuristics, 2015)

Retrospective Bayesian outlier detection in INGARCH series. - Roland Fried; Inoncent Agueusop; Björn Bornkamp; Konstantinos Fokianos; Jana Fruth; Katja Ickstadt (Stat. Comput., 2015)

Integration of Multiple Genomic Data Sources in a Bayesian Cox Model for Variable Selection and Prediction. - Tabea Treppmann; Katja Ickstadt; Manuela Zucknick (Comput. Math. Methods Medicine, 2017)

Random projections for Bayesian regression. - Leo N. Geppert; Katja Ickstadt; Alexander Munteanu; Jens Quedenfeld; Christian Sohler (Stat. Comput., 2017)

Towards a Systematic Screening Tool for Quality Assurance and Semiautomatic Fraud Detection for Images in the Life Sciences. - Lars Koppers; Holger Wormer; Katja Ickstadt (Sci. Eng. Ethics, 2017)

Data Science: the impact of statistics. - Claus Weihs; Katja Ickstadt (Int. J. Data Sci. Anal., 2018)

Bayesian prediction for a jump diffusion process - With application to crack growth in fatigue experiments. - Simone Hermann; Katja Ickstadt; Christine H. Müller (Reliab. Eng. Syst. Saf., 2018)

Streaming statistical models via Merge & Reduce. - Leo N. Geppert; Katja Ickstadt; Alexander Munteanu; Christian Sohler (Int. J. Data Sci. Anal., 2020)

Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. - Katrin Madjar; Manuela Zucknick; Katja Ickstadt; Jörg Rahnenführer (BMC Bioinform., 2021)

Bayesian Analysis for Dimensionality and Complexity Reduction. - Zeyu Ding 007; Katja Ickstadt; Alexander Munteanu (Mach. Learn. under Resour. Constraints Vol. 3 (3), 2022)

Is there a role for statistics in artificial intelligence? - Sarah Friedrich; Gerd Antes; Sigrid Behr; Harald Binder; Werner Brannath; Florian Dumpert; Katja Ickstadt; Hans A. Kestler; Johannes Lederer; Heinz Leitgöb; Markus Pauly; Ansgar Steland; et al. (Adv. Data Anal. Classif., 2022)

Correction to: Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression. - Katrin Madjar; Manuela Zucknick; Katja Ickstadt; Jörg Rahnenführer (BMC Bioinform., 2022)

shinybrms: Fitting Bayesian Regression Models Using a Graphical User Interface for the R Package brms. - Frank Weber; Katja Ickstadt; Änne Glass (R J., 2022)

Joint models in big data: simulation-based guidelines for required data quality in longitudinal electronic health records. - Berit Hunsdieck; Christian Bender; Katja Ickstadt; Johanna Mielke (BioData Min., 2025)