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Zeitschriftenartikel

Mandl, Maximilian M. ORCID logoORCID: https://orcid.org/0000-0003-0518-9802; Becker-Pennrich, Andrea S.; Hinske, Ludwig C.; Hoffmann, Sabine ORCID logoORCID: https://orcid.org/0000-0001-6197-8801 und Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 (2024): Addressing researcher degrees of freedom through minP adjustment. In: BMC Medical Research Methodology 24:152 [PDF, 1MB]

Mandl, Maximilian M. ORCID logoORCID: https://orcid.org/0000-0003-0518-9802; Hoffmann, Sabine; Bieringer, Sebastian; Jacob, Anna E. ORCID logoORCID: https://orcid.org/0000-0003-3066-1515; Kraft, Marie; Lemster, Simon und Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 (2024): Raising awareness of uncertain choices in empirical data analysis: A teaching concept toward replicable research practices.
In: PLOS Computational Biology 20(3), e1011936 [PDF, 652kB]

Abrahamowicz, Michal; Beauchamp, Marie-Eve; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Morris, Tim P.; Sauerbrei, Willi und Kaufman, Jay S. (2024): Data-Driven Simulations to Assess the Impact of Study Imperfections in Time-to-Event Analyses. In: American Journal of Epidemiology [Forthcoming]

Collins, Gary S. ORCID logoORCID: https://orcid.org/0000-0002-2772-2316; Moons, Karel G. M. ORCID logoORCID: https://orcid.org/0000-0003-2118-004X; Dhiman, Paula ORCID logoORCID: https://orcid.org/0000-0002-0989-0623; Riley, Richard D. ORCID logoORCID: https://orcid.org/0000-0001-8699-0735; Beam, Andrew L. ORCID logoORCID: https://orcid.org/0000-0002-6657-2787; Calster, Ben van ORCID logoORCID: https://orcid.org/0000-0003-1613-7450; Ghassemi, Marzyeh ORCID logoORCID: https://orcid.org/0000-0001-6349-7251; Liu, Xiaoxuan ORCID logoORCID: https://orcid.org/0000-0002-1286-0038; Reitsma, Johannes B. ORCID logoORCID: https://orcid.org/0000-0003-4026-4345; Smeden, Maarten van ORCID logoORCID: https://orcid.org/0000-0002-5529-1541; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Camaradou, Jennifer Catherine ORCID logoORCID: https://orcid.org/0000-0002-5742-2840; Celi, Leo Anthony ORCID logoORCID: https://orcid.org/0000-0001-6712-6626; Denaxas, Spiros ORCID logoORCID: https://orcid.org/0000-0001-9612-7791; Denniston, Alastair K. ORCID logoORCID: https://orcid.org/0000-0001-7849-0087; Glocker, Ben ORCID logoORCID: https://orcid.org/0000-0002-4897-9356; Golub, Robert M. ORCID logoORCID: https://orcid.org/0000-0001-7881-1207; Harvey, Hugh ORCID logoORCID: https://orcid.org/0000-0003-4528-1312; Heinze, Georg ORCID logoORCID: https://orcid.org/0000-0003-1147-8491; Hoffman, Michael M. ORCID logoORCID: https://orcid.org/0000-0002-4517-1562; Kengne, André Pascal ORCID logoORCID: https://orcid.org/0000-0002-5183-131X; Lam, Emily; Lee, Naomi ORCID logoORCID: https://orcid.org/0000-0003-0100-9659; Loder, Elizabeth W. ORCID logoORCID: https://orcid.org/0000-0003-1501-2947; Maier-Hein, Lena ORCID logoORCID: https://orcid.org/0000-0003-4910-9368; Mateen, Bilal A. ORCID logoORCID: https://orcid.org/0000-0003-4423-6472; McCradden, Melissa D. ORCID logoORCID: https://orcid.org/0000-0002-6476-2165; Oakden-Rayner, Lauren ORCID logoORCID: https://orcid.org/0000-0001-5471-5202; Ordish, Johan ORCID logoORCID: https://orcid.org/0000-0001-6911-2367; Parnell, Richard ORCID logoORCID: https://orcid.org/0000-0003-0044-3496; Rose, Sherri ORCID logoORCID: https://orcid.org/0000-0002-9076-8472; Singh, Karandeep ORCID logoORCID: https://orcid.org/0000-0001-8980-2330; Wynants, Laure ORCID logoORCID: https://orcid.org/0000-0002-3037-122X und Logullo, Patricia ORCID logoORCID: https://orcid.org/0000-0001-8708-7003 (2024): TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. In: BMJ, Bd. 385, e078378 [PDF, 291kB]

Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 und Hoffmann, Sabine ORCID logoORCID: https://orcid.org/0000-0001-6197-8801 (2024): To adjust or not to adjust: it is not the tests performed that count, but how they are reported and interpreted. In: BMJ Medicine, Bd. 3, Nr. 1, e000783 [PDF, 164kB]

Rahnenführer, Jörg ORCID logoORCID: https://orcid.org/0000-0002-8947-440X; De Bin, Riccardo ORCID logoORCID: https://orcid.org/0000-0002-7441-6880; Benner, Axel ORCID logoORCID: https://orcid.org/0000-0002-7238-6956; Ambrogi, Federico ORCID logoORCID: https://orcid.org/0000-0001-9358-011X; Lusa, Lara ORCID logoORCID: https://orcid.org/0000-0002-8981-2421; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Migliavacca, Eugenia; Binder, Harald ORCID logoORCID: https://orcid.org/0000-0002-5666-8662; Michiels, Stefan ORCID logoORCID: https://orcid.org/0000-0002-6963-2968; Sauerbrei, Willi ORCID logoORCID: https://orcid.org/0000-0002-6792-4123 und McShane, Lisa ORCID logoORCID: https://orcid.org/0000-0001-8195-3206 (2023): Statistical analysis of high-dimensional biomedical data: a gentle introduction to analytical goals, common approaches and challenges. In: BMC Medicine, Bd. 21, Nr. 1 [PDF, 5MB]

Bodensohn, Raphael ORCID logoORCID: https://orcid.org/0000-0002-1114-2771; Kaempfel, Anna-Lena; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Orzelek, Anna Maria; Corradini, Stefanie; Fleischmann, Daniel Felix; Forbrig, Robert ORCID logoORCID: https://orcid.org/0000-0002-1054-1463; Garny, Sylvia; Hadi, Indrawati; Hofmaier, Jan ORCID logoORCID: https://orcid.org/0000-0002-7936-9753; Minniti, Giuseppe; Mansmann, Ulrich ORCID logoORCID: https://orcid.org/0000-0002-9955-8906; Pazos Escudero, Montserrat; Thon, Niklas; Belka, Claus ORCID logoORCID: https://orcid.org/0000-0002-1287-7825 und Niyazi, Maximilian (2023): Stereotactic Radiosurgery versus Whole-Brain Radiotherapy in Patients with 4–10 Brain Metastases: A Nonrandomized Controlled Trial. In: Radiotherapy and Oncology, Bd. 186, 109744 [PDF, 1MB]

Ullmann, Theresa ORCID logoORCID: https://orcid.org/0000-0003-1215-8561; Peschel, Stefanie; Finger, Philipp; Müller, Christian L. und Boulesteix, Anne-Laure (2023): Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
In: PLoS Computational Biology 19(1), e1010820 [PDF, 1MB]

Ullmann, Theresa ORCID logoORCID: https://orcid.org/0000-0003-1215-8561; Beer, Anna ORCID logoORCID: https://orcid.org/0000-0002-6890-997X; Hünemörder, Maximilian ORCID logoORCID: https://orcid.org/0000-0001-9848-3714; Seidl, Thomas und Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 (2022): Over-optimistic evaluation and reporting of novel cluster algorithms: an illustrative study. In: Advances in Data Analysis and Classification, Bd. 17, Nr. 1: S. 211-238 [PDF, 856kB]

Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 und Wright, Marvin (2022): [Editorial] Special issue: Artificial intelligence in genomics. In: Human Genetics, Bd. 141, Nr. 9: S. 1449-1450 [PDF, 371kB]

Kowalski, Christian; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 und Harendza, Sigrid (2022): Effective methods to enhance medical students’ cardioversion and transcutaneous cardiac pacing skills retention - a prospective controlled study. In: BMC Medical Education, Bd. 22, 417: S. 1-7 [PDF, 1MB]

Vasey, Baptiste ORCID logoORCID: https://orcid.org/0000-0002-0017-8891; Nagendran, Myura; Campbell, Bruce; Clifton, David A; Collins, Gary S; Denaxas, Spiros; Denniston, Alastair K; Faes, Livia; Geerts, Bart; Ibrahim, Mudathir; Liu, Xiaoxuan; Mateen, Bilal A; Mathur, Piyush; McCradden, Melissa D; Morgan, Lauren; Ordish, Johan; Rogers, Campbell; Saria, Suchi; Ting, Daniel S W; Watkinson, Peter; Weber, Wim; Wheatstone, Peter; McCulloch, Peter und Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 (2022): Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI. In: BMJ, Bd. 2022, Nr. 377, e070904 [PDF, 393kB]

Smeden, Maarten van ORCID logoORCID: https://orcid.org/0000-0002-5529-1541; Heinze, Georg ORCID logoORCID: https://orcid.org/0000-0003-1147-8491; Calster, Ben van ORCID logoORCID: https://orcid.org/0000-0003-1613-7450; Asselbergs, Folkert W.; Vardas, Panos E. ORCID logoORCID: https://orcid.org/0000-0002-4499-0806; Bruining, Nico ORCID logoORCID: https://orcid.org/0000-0002-0272-5617; Jaegere, Peter de; Moore, Jason H.; Denaxas, Spiros ORCID logoORCID: https://orcid.org/0000-0001-9612-7791; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947 und Moons, Karel G.M. (2022): Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease. In: European Heart Journal, Bd. 43, Nr. 31: S. 2921-2930 [PDF, 726kB]

Nießl, Christina; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Oh, Jun; Palm, Katja; Schlingmann, Peter; Wygoda, Simone; Haffner, Dieter; Wühl, Elke; Tönshoff, Burkhard; Buescher, Anja; Billing, Heiko; Hoppe, Bernd; Zirngibl, Matthias; Kettwig, Matthias; Moeller, Kristina; Acham-Roschitz, Birgit; Arbeiter, Klaus; Bald, Martin; Benz, Marcus; Galiano, Matthias; John-Kroegel, Ulrike; Klaus, Guenter; Marx-Berger, Daniela; Moser, Katja; Mueller, Dirk; Patzer, Ludwig; Pohl, Martin; Seitz, Barbara; Treikauskas, Ulrike; Vigier, Rodo O. von; Gahl, William Allen und Hohenfellner, Katharina (2022): Relationship between age at initiation of cysteamine treatment, adherence with therapy, and glomerular kidney function in infantile nephropathic cystinosis. In: Molecular Genetics and Metabolism, Bd. 136, Nr. 4: S. 268-273

Hodiamont, Farina ORCID logoORCID: https://orcid.org/0000-0001-7351-7092; Schatz, Caroline; Gesell, Daniela; Leidl, Reiner ORCID logoORCID: https://orcid.org/0000-0002-7115-7510; Boulesteix, Anne-Laure ORCID logoORCID: https://orcid.org/0000-0002-2729-0947; Nauck, Friedemann; Wikert, Julia; Jansky, Maximiliane; Kranz, Steven und Bausewein, Claudia ORCID logoORCID: https://orcid.org/0000-0002-0958-3041 (2022): COMPANION: development of a patient-centred complexity and casemix classification for adult palliative care patients based on needs and resource use – a protocol for a cross-sectional multi-centre study. In: BMC Palliative Care, Bd. 21, 18 [PDF, 1MB]

Hornung, Roman und Boulesteix, Anne-Laure (2022): Machine learning for knowledge discovery with R: Methodologies for modeling, inference and prediction. In: Biometrical Journal, Bd. 64, Nr. 4: S. 822-823

Hornung, Roman und Boulesteix, Anne-Laure (2022): Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. In: Computational Statistics & Data Analysis, Bd. 171, 107460

Buchka, Stefan; Hapfelmeier, Alexander; Gardner, Paul P.; Wilson, Rory und Boulesteix, Anne-Laure (11. Mai 2021): On the optimistic performance evaluation of newly introduced bioinformatic methods. In: Genome Biology, Bd. 22, Nr. 152 [PDF, 526kB]

Hoffmann, Sabine; Schönbrodt, Felix; Elsas, Ralf; Wilson, Rory; Strasser, Ulrich und Boulesteix, Anne-Laure (2021): The multiplicity of analysis strategies jeopardizes replicability: lessons learned across disciplines. In: Royal Society Open Science, Bd. 8, Nr. 4, 201925

Buchka, Stefan; Hapfelmeier, Alexander; Gardner, Paul P.; Wilson, Rory und Boulesteix, Anne-Laure (2021): On the optimistic performance evaluation of newly introduced bioinformatic methods. In: Genome Biology, Bd. 22, Nr. 1, 152

Herrmann, Moritz; Probst, Philipp; Hornung, Roman; Jurinovic, Vindi und Boulesteix, Anne-Laure (2021): Large-scale benchmark study of survival prediction methods using multi-omics data. In: Briefings in Bioinformatics, Bd. 22, Nr. 3, bbaa167

Klau, Simon; Hoffmann, Sabine; Patel, Chirag J.; Ioannidis, John P. A. und Boulesteix, Anne-Laure (2021): Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework. In: International Journal of Epidemiology, Bd. 50, Nr. 1: S. 266-278

Niessl, Christina; Herrmann, Moritz; Wiedemann, Chiara; Casalicchio, Giuseppe und Boulesteix, Anne-Laure (2021): Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results. In: Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, Bd. 12, Nr. 2, e1441

Hoffmann, Sabine; Schönbrodt, Felix D. ORCID logoORCID: https://orcid.org/0000-0002-8282-3910; Elsas, Ralf; Wilson, Rory; Strasser, Ulrich und Boulesteix, Anne-Laure (2021): The multiplicity of analysis strategies jeopardizes replicability: lessons learned across disciplines. In: Royal Society Open Science, Bd. 8, Nr. 4 [PDF, 936kB]

Klau, Simon; Hoffmann, Sabine; Patel, Chirag J.; Ioannidis, John Pa und Boulesteix, Anne-Laure (2021): Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework. In: International Journal of Epidemiology, Bd. 50, Nr. 1: S. 266-278 [PDF, 1MB]

Peschel, Stefanie; Mueller, Christian L.; Mutius, Erika von; Boulesteix, Anne-Laure und Depner, Martin (2021): NetCoMi: network construction and comparison for microbiome data in R. In: Briefings in Bioinformatics, Bd. 22, Nr. 4, bbaa290

Ullmann, Theresa; Hennig, Christian und Boulesteix, Anne-Laure (2021): Validation of cluster analysis results on validation data: A systematic framework. In: Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery, Bd. 12, Nr. 3, e1444

Fuchs, Mathias; Hornung, Roman; Boulesteix, Anne-Laure und Bin, Riccardo de (Dezember 2020): On the asymptotic behaviour of the variance estimator of a U-statistic. In: Journal of Statistical Planning and Inference, Bd. 209: S. 101-111

Boulesteix, Anne-Laure; Charlton, Alethea; Seibold, Heidi und Hoffmann, Sabine (29. September 2020): A replication crisis in methodological research? In: Significance, Bd. 17, Nr. 5: S. 18-21

Klau, Simon; Martin-Magniette, Marie-Laure; Boulesteix, Anne-Laure und Hoffmann, Sabine (Mai 2020): Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selection. In: Biometrical Journal, Bd. 62, Nr. 3: S. 670-87

Boulesteix, Anne-Laure; Wright, Marvin N.; Hoffmann, Sabine und König, Inke R. (Januar 2020): Statistical learning approaches in the genetic epidemiology of complex diseases. In: Human Genetics, Bd. 139, Nr. 1: S. 73-84

Ellenbach, Nicole; Boulesteix, Anne-Laure; Bischl, Bernd; Unger, Kristian und Hornung, Roman (2020): Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning. In: Journal of Classification, Bd. 38: S. 212-231 [PDF, 709kB]

Burgmann, D.-M.; Foerster, K.; Klemme, M.; Delius, M.; Hübener, C.; Wiskott, R.; Boulesteix, Anne-Laure und Flemmer, A. W. (2020): Delivery room desaturations and bradycardia in the early postnatal period of healthy term neonates - a prospective observational study. In: The journal of maternal-fetal & neonatal medicine: the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians, Bd. 35, Nr. 8: S. 1457-1461

Samaga, Daniel; Hornung, Roman; Braselmann, Herbert; Hess, Julia; Zitzelsberger, Horst; Belka, Claus; Boulesteix, Anne-Laure und Unger, Kristian (2020): Single-center versus multi-center data sets for molecular prognostic modeling: a simulation study. In: Radiation Oncology, Bd. 15, Nr. 1: S. 109 [PDF, 1MB]

Herrmann, Moritz; Probst, Philipp; Hornung, Roman; Jurinovic, Vindi und Boulesteix, Anne-Laure (2020): Large-scale benchmark study of survival prediction methods using multi-omics data. In: Briefings in Bioinformatics: S. 1-15 [PDF, 545kB]

Peschel, Stefanie; Müller, Christian L.; Mutius, Erika von; Boulesteix, Anne-Laure und Depner, Martin (2020): NetCoMi: network construction and comparison for microbiome data in R. In: Briefings in Bioinformatics, Bd. 22, Nr. 4, bbaa290 [PDF, 1MB]

Lackermair, Korbinian; Brunner, Stefan; Orban, Mathias; Peterss, Sven; Orban, Martin; Theiss, Hans D.; Huber, Bruno C.; Juchem, Gerd; Born, Frank; Boulesteix, Anne-Laure; Bauer, Axel; Pichlmaier, Maximilian; Hausleiter, Jörg; Massberg, Steffen; Hagl, Christian und Guenther, Sabina P. W. (2020): Outcome of patients treated with extracorporeal life support in cardiogenic shock complicating acute myocardial infarction: 1-year result from the ECLS-Shock study. In: Clinical Research in Cardiology, Bd. 110: S. 1412-1420

Boulesteix, Anne-Laure; Groenwold, Rolf H. H.; Abrahamowicz, Michal; Binder, Harald; Briel, Matthias; Hornung, Roman; Morris, Tim P.; Rahnenführer, Jörg und Sauerbrei, Willi (2020): Introduction to statistical simulations in health research. In: BMJ Open, Bd. 10, Nr. 12, e039921 [PDF, 567kB]

Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah und Hapfelmeier, Alexander (2019): Making complex prediction rules applicable for readers: Current practice in random forest literature and recommendations. In: Biometrical Journal, Bd. 61, Nr. 5: S. 1314-1328

Probst, Philipp; Boulesteix, Anne-Laure und Bischl, Bernd (2019): Tunability: Importance of Hyperparameters of Machine Learning Algorithms. In: Journal of Machine Learning Research, Bd. 20, 53

Probst, Philipp; Wright, Marvin N. und Boulesteix, Anne-Laure (2019): Hyperparameters and tuning strategies for random forest. In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Bd. 9, Nr. 3, e1301

Bin, Riccardo de; Boulesteix, Anne-Laure; Benner, Axel; Becker, Natalia und Sauerbrei, Willi (2019): Combining clinical and molecular data in regression prediction models: insights from a simulation study. In: Briefings in Bioinformatics, Bd. 21, Nr. 6: S. 1904-1919

Weber, Lukas M.; Saelens, Wouter; Cannoodt, Robrecht; Soneson, Charlotte; Hapfelmeier, Alexander; Gardner, Paul P.; Boulesteix, Anne-Laure; Saeys, Yvan und Robinson, Mark D. (2019): Essential guidelines for computational method benchmarking. In: Genome Biology 20 [PDF, 868kB]

Volkmann, Alexander; De Bin, Riccardo; Sauerbrei, Willi und Boulesteix, Anne-Laure (2019): A plea for taking all available clinical information into account when assessing the predictive value of omics data. In: BMC Medical Research Methodology 19:162 [PDF, 913kB]

Guo, Anne; Srinath, Jyotsna; Feuerecker, Matthias; Crucian, Brian; Briegel, Josef; Boulesteix, Anne-Laure; Kaufmann, Ines und Chouker, Alexander (2019): Immune function testing in sepsis patients receiving sodium selenite. In: Journal of Critical Care Medicine, Bd. 52: S. 208-212

Brunner, Stefan; Guenther, Sabina P. W.; Lackermair, Korbinian; Peterss, Sven; Orban, Martin; Boulesteix, Anne-Laure; Michel, Sebastian; Hausleiter, Jörg; Massberg, Steffen und Hagl, Christian (2019): Extracorporeal Life Support in Cardiogenic Shock Complicating Acute Myocardial Infarction. In: Journal of the American College of Cardiology, Bd. 73, Nr. 18: S. 2355-2357

Probst, Philipp und Boulesteix, Anne-Laure (2018): To Tune or Not to Tune the Number of Trees in Random Forest. In: Journal of Machine Learning Research, Bd. 18: S. 1-18

Janitza, Silke; Celik, Ender und Boulesteix, Anne-Laure (2018): A computationally fast variable importance test for random forests for high-dimensional data. In: Advances in Data Analysis and Classification, Bd. 12, Nr. 4: S. 885-915

Seibold, Heidi; Bernau, Christoph; Boulesteix, Anne-Laure und Bin, Riccardo de (2018): On the choice and influence of the number of boosting steps for high-dimensional linear Cox-models. In: Computational Statistics, Bd. 33, Nr. 3: S. 1195-1215

Boulesteix, Anne-Laure; Binder, Harald; Abrahamowicz, Michal und Sauerbrei, Willi (2018): On the necessity and design of studies comparing statistical methods. In: Biometrical Journal, Bd. 60, Nr. 1: S. 216-218

Dougherty, Edward R.; Boulesteix, Anne-Laure; Dalton, Lori A. und Zhang, Michelle (2018): Guest Editorial-Special Collection Topic: Statistical Systems Theory in Cancer Modeling, Diagnosis, and Therapy. In: Cancer informatics, Bd. 17

Niyazi, Maximilian; Adeberg, Sebastian; Kaul, David; Boulesteix, Anne-Laure; Bougatf, Nina; Fleischmann, Daniel F.; Grün, Arne; Krämer, Anna; Rödel, Claus; Eckert, Franziska; Paulsen, Frank; Kessel, Kerstin A.; Combs, Stephanie E.; Oehlke, Oliver; Grosu, Anca-Ligia; Seidlitz, Annekatrin; Lattermann, Annika; Krause, Mechthild; Baumann, Michael; Guberina, Maja; Stuschke, Martin; Budach, Volker; Belka, Claus und Debus, Jürgen (2018): Independent validation of a new reirradiation risk score (RRRS) for glioma patients predicting post-recurrence survival: A multicenter DKTK/ROG analysis. In: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, Bd. 127, Nr. 1: S. 121-127

Couronné, Raphael; Probst, Philipp und Boulesteix, Anne-Laure (2018): Random forest versus logistic regression: A large-scale benchmark experiment. In: BMC Bioinformatics 19: S. 1-14 [PDF, 1MB]

Hornung, Roman; Jurinovic, Vindi; Batcha, Aarif M. N.; Bamopoulos, Stefanos A.; Rothenberg-Thurley, Maja; Amler, Susanne; Sauerland, Maria Cristina; Berdel, Wolfgang E.; Wörmann, Bernhard J.; Bohlander, Stefan K.; Braess, Jan; Hiddemann, Wolfgang; Lehmann, Sören; Mareschal, Sylvain; Spiekermann, Karsten; Metzeler, Klaus H.; Herold, Tobias und Boulesteix, Anne-Laure (2018): Mediation analysis reveals common mechanisms of RUNX1 point mutations and RUNX1/RUNX1T1 fusions influencing survival of patients with acute myeloid leukemia. In: Scientific Reports, Bd. 8, Nr. 1: S. 1-13 [PDF, 1MB]

Klau, Simon; Jurinovic, Vindi; Hornung, Roman; Herold, Tobias und Boulesteix, Anne-Laure (2018): Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. In: BMC Bioinformatics :19:322 [PDF, 1MB]

Considine, E. C.; Thomas, G.; Boulesteix, Anne-Laure; Khashan, A. S. und Kenny, L. C. (2018): Critical review of reporting of the data analysis step in metabolomics. In: Metabolomics, 14:7

Boulesteix, Anne-Laure; Bin, Riccardo de; Jiang, Xiaoyu und Fuchs, Mathias (2017): IPF-LASSO: Integrative L1-Penalized regression with penalty factors for prediction based on multi-omics data. In: Computational and mathematical methods in medicine, Bd. 2017, 7691937 [PDF, 1MB]

Boulesteix, Anne-Laure; Wilson, Rory und Hapfelmeier, Alexander (2017): Towards evidence-based computational statistics: Lessons from clinical research on the role and design of real-data benchmark studies. In: BMC medical research methodology :17:138 [PDF, 534kB]

Guenther, S. P. W.; Schirren, M.; Boulesteix, Anne-Laure; Busen, Hannah; Poettinger, T.; Pichlmaier, A. M.; Khaladj, N. und Hagl, C. (2017): Effects of the Cardio First AngelTM on chest compression performance. In: Technology and Health Care: S. 1-12

Bin, Riccardo de; Boulesteix, Anne-Laure und Sauerbrei, Willi (2017): Detection of influential points as a byproduct of resampling-based variable selection procedures. In: Computational Statistics & Data Analysis, Bd. 116: S. 19-31

Janitza, Silke; Tutz, Gerhard und Boulesteix, Anne-Laure (2016): Random forest for ordinal responses: Prediction and variable selection. In: Computational Statistics and Data Analysis, Bd. 96: S. 57-73

Casalicchio, Giuseppe; Bischl, Bernd; Boulesteix, Anne-Laure und Schmid, Matthias (2016): The residual-based predictiveness curve: A visual tool to assess the performance of prediction models. In: Biometrics, Bd. 72, Nr. 2: S. 392-401

Müller, Bent; Wilcke, A.; Boulesteix, Anne-Laure; Brauer, J.; Passarge, E.; Boltze, J. und Kirsten, H. (2016): Improved prediction of complex diseases by common genetic markers: state of the art and further perspectives. In: Human Genetics, Bd. 135, Nr. 3: S. 259-272

Tufman, Amanda; Huber, Rudolf Maria; Volk, Stefanie; Aigner, Frederic; Edelmann, Martin; Gamarra, Fernando; Kiefl, Rosemarie; Kahnert, Kathrin; Tian, Fei; Boulesteix, Anne-Laure; Endres, Stefan und Kobold, Sebastian (2016): Interleukin-22 is elevated in lavage from patients with lung cancer and other pulmonary diseases. In: BMC Cancer, Bd. 16: S. 409

Rospleszcz, S.; Janitza, Silke und Boulesteix, Anne-Laure (2016): Categorical variables with many categories are preferentially selected in bootstrap-based model selection procedures for multivariable regression models. In: Biometrical Journal, Bd. 58, Nr. 3: S. 652-673

Schönermarck, U.; Dengler, C.; Gmeinwieser, A.; Praun, S.; Schelling, Gustav; Fischereder, M.; Boulesteix, Anne-Laure und Dolch, M. E. (2016): Exhaled breath volatile organic and inorganic compound composition in end-stage renal disease. In: Clinical Nephrology, Bd. 86, Nr. 9: S. 132-140

Dolch, M. E.; Janitza, Silke; Boulesteix, Anne-Laure; Grassmann-Lichtenauer, Carola; Praun, S.; Denzer, W.; Schelling, Gustav und Schubert, S. (2016): Gram-negative and -positive bacteria differentiation in blood culture samples by headspace volatile compound analysis. In: Journal of Biological Research - Thessaloniki 23:3 [PDF, 1MB]

Janitza, Silke; Binder, H. und Boulesteix, Anne-Laure (2016): Pitfalls of hypothesis tests and model selection on bootstrap samples: Causes and consequences in biometrical applications. In: Biometrical Journal, Bd. 58, Nr. 3: S. 447-473

Hornung, Roman; Boulesteix, Anne-Laure und Causeur, D. (2016): Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. In: BMC Bioinformatics, Bd. 17, Nr. 1: S. 27 [PDF, 851kB]

Wahl, Simone; Boulesteix, Anne-Laure; Zierer, Astrid; Thorand, Barbara und Wiel, Mark A. van de (2016): Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation. In: BMC medical research methodology 16:144 [PDF, 999kB]

Wahl, Simone; Boulesteix, Anne-Laure; Zierer, Astrid; Thorand, Barbara und Wiel, Mark A. van de (2016): Erratum to: Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation. In: BMC medical research methodology 16: S. 170 [PDF, 234kB]

Hornung, Roman; Causeur, David; Bernau, Christoph und Boulesteix, Anne-Laure (2016): Improving cross-study prediction through addon batch effect adjustment or addon normalization. In: Bioinformatics, Bd. 33, Nr. 3: S. 397-404

Hornung, Roman; Bernau, Christoph; Truntzer, Caroline; Wilson, Rory; Stadler, Thomas und Boulesteix, Anne-Laure (2015): A measure of the impact of CV incompleteness on prediction error estimation with application to PCA and normalization. In: BMC Medical Research Methodology 15:95 [PDF, 703kB]

De Bin, Riccardo; Janitza, Silke; Sauerbrei, W. und Boulesteix, Anne-Laure (2015): Subsampling versus bootstrapping in resampling-based model selection for multivariable regression. In: Biometrics, Bd. 72, Nr. 1: S. 272-280

Boulesteix, Anne-Laure (2015): Letter to the editor: On reviews and papers on new methods. In: Briefings in Bioinformatics, Bd. 16, Nr. 2: S. 365-366

Boulesteix, Anne-Laure (2015): Ten simple rules for reducing overoptimistic reporting in methodological computational research.
In: PLOS Computational Biology 11(4), e1004191 [PDF, 102kB]

Böll, Bernhard Michael; Vogt, Ferdinand; Boulesteix, Anne-Laure und Schmitz, Christoph (2015): Gender mismatch in allograft aortic valve surgery. In: Interactive Cardiovascular and Thoracic Surgery, Bd. 21, Nr. 3: S. 329-335

Boulesteix, Anne-Laure; Stierle, Veronika und Hapfelmeier, Alexander (2015): Publication Bias in Methodological Computational Research. In: Cancer informatics, Bd. 14: S. 11-19

De Bin, Riccardo; Herold, Tobias und Boulesteix, Anne-Laure (2014): Added predictive value of omics data: specific issues related to validation illustrated by two case studies. In: BMC Medical Research Methodology 14:117 [PDF, 765kB]

Boulesteix, Anne-Laure und Schmid, Matthias (2014): Machine learning versus statistical modeling. In: Biometrical Journal, Bd. 56, Nr. 4: S. 588-593

Kebschull, M.; Guarnieri, P.; Demmer, R. T.; Boulesteix, Anne-Laure; Pavlidis, P. und Papapanou, P. N. (Dezember 2013): Molecular Differences between Chronic and Aggressive Periodontitis. In: Journal of Dental Research, Bd. 92, Nr. 12: S. 1081-1088 [PDF, 478kB]

Guillemot, Vincent; Bender, Andreas und Boulesteix, Anne-Laure (2013): Iterative reconstruction of high-dimensional Gaussian Graphical Models based on a new method to estimate partial correlations under constraints.
In: PLOS ONE 8(4), e60536 [PDF, 968kB]

Janitza, Silke; Strobl, Carolin und Boulesteix, Anne-Laure (2013): An AUC-based permutation variable importance measure for random forests. In: BMC Bioinformatics 14:119 [PDF, 296kB]

Bernau, Christoph; Augustin, Thomas und Boulesteix, Anne-Laure (2013): Correcting the optimal resampling-based error rate by estimating the error rate of wrapper algorithms. In: Biometrics, Bd. 69, Nr. 3: S. 693-702

Pildner von Steinburg, S.; Boulesteix, Anne-Laure; Lederer, C.; Grunow, S.; Schiermeier, S.; Hatzmann, W.; Schneider, K. T. und Daumer, M. (2013): What is the normal fetal heart rate? In: PeerJ, Bd. 1, e82 [PDF, 738kB]

Vogt, F.; Boll, B. M.; Boulesteix, Anne-Laure; Kilian, E.; Santarpino, G.; Reichart, B. und Schmitz, C. (2013): Homografts in aortic position: does blood group incompatibility have an impact on patient outcomes? In: Interactive Cardiovascular and Thoracic Surgery, Bd. 16, Nr. 5: S. 619-624

Boulesteix, Anne-Laure (2013): On representative and illustrative comparisons with real data in bioinformatics: response to the letter to the editor by Smith et al. In: Bioinformatics, Bd. 29, Nr. 20: S. 2664-2666

Boulesteix, Anne-Laure; Lauer, Sabine und Eugster, Manuel J. A. (2013): A plea for neutral comparison studies in computational sciences.
In: PLOS ONE 8(4), e61562 [PDF, 371kB]

Bernau, Christoph; Boulesteix, Anne-Laure und Knaus, J. (2013): Application of microarray analysis on computer cluster and cloud platforms. In: Methods of Information in Medicine, Bd. 52, Nr. 1: S. 65-71

Guillemot, Vincent; Bender, A. und Boulesteix, Anne-Laure (2013): Iterative Reconstruction of High-Dimensional Gaussian Graphical Models Based on a New Method to Estimate Partial Correlations under Constraints.
In: PLOS ONE 8(4), e60536 [PDF, 963kB]

Hornuss, C.; Zagler, A.; Dolch, M. E.; Wiepcke, D.; Praun, S.; Boulesteix, Anne-Laure; Weis, Florian; Apfel, C. C. und Schelling, Gustav (2012): Breath isoprene concentrations in persons undergoing general anesthesia and in healthy volunteers. In: Journal of Breath Research, Bd. 6, Nr. 4: 046004

Luz Calle, M.; Urrea, Victor; Boulesteix, Anne-Laure und Malats, Nuria (2011): AUC-RF: A New Strategy for Genomic Profiling with Random Forest. In: Human Heredity, Nr. 2: S. 121-132 [PDF, 631kB]

Pickhard, Anja C.; Margraf, Johanna; Knopf, Andreas; Stark, Thomas; Piontek, Guido; Beck, Carolin; Boulesteix, Anne-Laure; Scherer, Elias Q.; Pigorsch, Steffi; Schlegel, Juergen; Arnold, Wolfgang und Reiter, Rudolf (2011): Inhibition of radiation induced migration of human head and neck squamous cell carcinoma cells by blocking of EGF receptor pathways. In: BMC Cancer 11:388 [PDF, 927kB]

Pickhard, A. C.; Margraf, J.; Knopf, A.; Stark, T.; Piontek, G.; Beck, C.; Boulesteix, Anne-Laure; Scherer, E. Q.; Pigorsch, S.; Schlegel, J.; Arnold, W. und Reiter, R. (2011): Inhibition of Radiation Induced Migration of Human Head and Neck Squamous Cell Carcinoma Cells by Blocking of EGF Receptor Pathways. In: BMC Cancer, Bd. 11, Nr. 1: S. 388

Sauerbrei, W.; Boulesteix, Anne-Laure und Binder, H. (2011): Stability investigations of multivariable regression models derived from low- and high-dimensional data. In: Journal of Biopharmaceutical Statistics, Bd. 21, Nr. 6: S. 1206-1231

Boulesteix, Anne-Laure (2011): Validation in bioinformatics and molecular medicine. Editorial. In: Briefings in Bioinformatics, Bd. 12, Nr. 3: S. 187-188

Boulesteix, Anne-Laure; Bender, A.; Lorenzo Bermejo, J. und Strobl, C. (2011): Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations. In: Briefings in Bioinformatics, Bd. 13, Nr. 3: S. 292-304

Boulesteix, Anne-Laure; Guillemot, Vincent und Sauerbrei, W. (2011): Use of pretransformation to cope with extreme values in important candidate features. In: Biometrical Journal, Bd. 53, Nr. 4: S. 673-688

Boulesteix, Anne-Laure und Sauerbrei, W. (2011): Added predictive value of high-throughput molecular data to clinical data and its validation. In: Briefings in Bioinformatics, Bd. 12, Nr. 3: S. 215-229

Herold, Tobias; Jurinovic, Vindi; Metzeler, Klaus H.; Boulesteix, Anne-Laure; Bergmann, M.; Seiler, T.; Mulaw, M.; Thoene, S.; Dufour, A.; Pasalic, Z.; Schmidberger, Markus; Schmidt, M.; Schneider, S.; Kakadia, P. M.; Feuring-Buske, M.; Braess, J.; Spiekermann, Karsten; Mansmann, Ulrich; Hiddemann, Wolfgang; Buske, C. und Bohlander, Stefan K. (2011): An eight-gene expression signature for the prediction of survival and time to treatment in chronic lymphocytic leukemia. In: Leukemia, Bd. 25, Nr. 10: S. 1639-1645

Boulesteix, Anne-Laure und Hothorn, Torsten (2010): Testing the additional predictive value of high-dimensional molecular data. In: BMC Bioinformatics 11:78 [PDF, 427kB]

Eifert, S.; Mair, H.; Boulesteix, Anne-Laure; Kilian, E.; Adamczak, M.; Reichart, B. und Lamm, Peter (2010): Mid-term outcomes of patients with PCI prior to CABG in comparison to patients with primary CABG. In: Vascular Health and Risk Management, Bd. 6: S. 495-501

Boulesteix, Anne-Laure (2010): Over-optimism in bioinformatics research. In: Bioinformatics, Bd. 26, Nr. 3: S. 437-439

Boulesteix, Anne-Laure und Hothorn, T. (2010): Testing the additional predictive value of high-dimensional molecular data. In: BMC Bioinformatics, Bd. 11, Nr. 1: S. 78

Jelizarow, Monika; Guillemot, Vincent; Tenenhaus, A.; Strimmer, K. und Boulesteix, Anne-Laure (2010): Over-optimism in bioinformatics: an illustration. In: Bioinformatics, Bd. 26, Nr. 16: S. 1990-1998

Boulesteix, Anne-Laure und Strobl, Carolin (2009): Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. In: BMC Medical Research Methodology 9:85 [PDF, 377kB]

Kraemer, Nicole; Schaefer, Juliane und Boulesteix, Anne-Laure (2009): Regularized estimation of large-scale gene association networks using graphical Gaussian models. In: BMC Bioinformatics 10:384 [PDF, 538kB]

Boulesteix, Anne-Laure und Slawski, Martin (2009): Stability and aggregation of ranked gene lists. In: Briefings in Bioinformatics, Bd. 10: S. 556-568

Boulesteix, Anne-Laure und Strobl, Carolin (2009): Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction. In: BMC Medical Research Methodology, Bd. 9, Nr. 85

Krämer, Nicole; Schäfer, Juliane und Boulesteix, Anne-Laure (2009): Regularized estimation of large-scale gene association networks using graphical gaussian models. In: BMC Bioinformatics, Bd. 10: S. 1-24 [PDF, 604kB]

Boulesteix, Anne-Laure und Slawski, M. (2009): Stability and aggregation of ranked gene lists. In: Briefings in Bioinformatics, Bd. 10, Nr. 5: S. 556-568

Boulesteix, Anne-Laure und Strobl, C. (2009): Optimal classifier selection and negative bias in error rate estimation: an empirical study on high-dimensional prediction. In: BMC Medical Research Methodology, Bd. 9: S. 85

Kraemer, N.; Schafer, J. und Boulesteix, Anne-Laure (2009): Regularized estimation of large-scale gene association networks using graphical Gaussian models. In: BMC Bioinformatics, Bd. 10: S. 384

Slawski, M.; Daumer, M. und Boulesteix, Anne-Laure (2008): CMA - a comprehensive Bioconductor package for supervised classification with high dimensional data. In: BMC Bioinformatics 9:439 [PDF, 462kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas und Zeileis, Achim (2008): Conditional variable importance for random forests. In: BMC Bioinformatics 9:307 [PDF, 396kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim und Hothorn, Torsten (2007): Bias in random forest variable importance measures: Illustrations, sources and a solution. In: BMC Bioinformatics 8:25 [PDF, 368kB]

Boulesteix, Anne-Laure und Strimmer, Korbinian (2005): Predicting transcription factor activities from combined analysis of microarray and ChIP data: a partial least squares approach. In: Theoretical Biology and Medical Modelling 2:23 [PDF, 346kB]

Paper

Hornung, Roman und Boulesteix, Anne-Laure (9. März 2021): Interaction Forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects. Department of Statistics: Technical Reports, Nr. 237 [PDF, 805kB]

Hoffmann, Sabine; Schönbrodt, Felix D. ORCID logoORCID: https://orcid.org/0000-0002-8282-3910; Elsas, Ralf; Wilson, Rory; Strasser, Ulrich und Boulesteix, Anne-Laure (19. Februar 2020): The multiplicity of analysis strategies jeopardizes replicability: lessons learned across disciplines. [PDF, 1MB]

Klau, Simon; Hoffmann, Sabine; Patel, Chirag; Ioannidis, John und Boulesteix, Anne-Laure (5. Februar 2020): Examining the robustness of observational associations to model, measurement and sampling uncertainty with the vibration of effects framework. Department of Statistics: Technical Reports, Nr. 233 [PDF, 513kB]

Klau, Simon; Schönbrodt, Felix D. ORCID logoORCID: https://orcid.org/0000-0002-8282-3910; Patel, Chirag; Ioannidis, John; Boulesteix, Anne-Laure und Hoffmann, Sabine (5. Februar 2020): Comparing the vibration of effects due to model, data pre-processing and sampling uncertainty on a large data set in personality psychology. Department of Statistics: Technical Reports, Nr. 232 [PDF, 1MB]

Schüller, Nicole; Boulesteix, Anne-Laure; Bischl, Bernd; Unger, Kristian und Hornung, Roman (18. März 2019): Improved outcome prediction across data sources through robust parameter tuning. Department of Statistics: Technical Reports, Nr. 221 [PDF, 522kB]

Klau, Simon; Jurinovic, Vindi; Hornung, Roman; Herold, Tobias und Boulesteix, Anne-Laure (23. November 2017): Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data. Department of Statistics: Technical Reports, Nr. 213 [PDF, 528kB]

Couronné, Raphael; Probst, Philipp und Boulesteix, Anne-Laure (21. Juli 2017): Random forest versus logistic regression: a large-scale benchmark experiment. Department of Statistics: Technical Reports, Nr. 205 [PDF, 909kB]

Probst, Philipp und Boulesteix, Anne-Laure (16. Mai 2017): To tune or not to tune the number of trees in random forest?

Boulesteix, Anne-Laure; Janitza, Silke; Hornung, Roman; Probst, Philipp; Busen, Hannah und Hapfelmeier, Alexander (19. Dezember 2016): Making Complex Prediction Rules Applicable for Readers: Current Practice in Random Forest Literature and Recommendations. Department of Statistics: Technical Reports, Nr. 199 [PDF, 456kB]

Boulesteix, Anne-Laure; Wilson, Rory und Hapfelmeier, Alexander (27. Oktober 2016): Towards evidence-based computational statistics: lessons from clinical research on the role and design of real-data benchmark studies. Department of Statistics: Technical Reports, Nr. 198 [PDF, 270kB]

Hornung, Roman; Causeur, David; Bernau, Christoph und Boulesteix, Anne-Laure (8. Juni 2016): Improving cross-study prediction through addon batch effect adjustment and addon normalization. Department of Statistics: Technical Reports, Nr. 194 [PDF, 481kB]

Seibold, Heidi; Bernau, Christoph; Boulesteix, Anne-Laure und De Bin, Riccardo (7. Januar 2016): On the choice and influence of the number of boosting steps. Department of Statistics: Technical Reports, Nr. 188 [PDF, 472kB]

Boulesteix, Anne-Laure; De Bin, Riccardo; Jiang, Xiaoyu und Fuchs, Mathias (17. Dezember 2015): IPF-LASSO: integrative L1-penalized regression with penalty factors for prediction based on multi-omics data. Department of Statistics: Technical Reports, Nr. 187 [PDF, 497kB]

Janitza, Silke; Celik, Ender und Boulesteix, Anne-Laure (22. Oktober 2015): A computationally fast variable importance test for random forests for high-dimensional data. Department of Statistics: Technical Reports, Nr. 185 [PDF, 1MB]

Hornung, Roman; Boulesteix, Anne-Laure und Causeur, David (22. September 2015): Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment. Department of Statistics: Technical Reports, Nr. 184 [PDF, 525kB]

Casalicchio, Giuseppe; Bischl, Bernd; Boulesteix, Anne-Laure und Schmid, Matthias (9. Januar 2015): The Residual-based Predictiveness Curve - A Visual Tool to Assess the Performance of Prediction Models. Department of Statistics: Technical Reports, Nr. 178 [PDF, 1MB]

Janitza, Silke; Tutz, Gerhard und Boulesteix, Anne-Laure (1. Dezember 2014): Random Forests for Ordinal Response Data: Prediction and Variable Selection. Department of Statistics: Technical Reports, Nr. 174 [PDF, 597kB]

Janitza, Silke; Binder, Harald und Boulesteix, Anne-Laure (19. November 2014): Pitfalls of hypothesis tests and model selection on bootstrap samples: causes and consequences in biometrical applications. Department of Statistics: Technical Reports, Nr. 163 [PDF, 1MB]

De Bin, Riccardo; Janitza, Silke; Sauerbrei, Willi und Boulesteix, Anne-Laure (14. Oktober 2014): Subsampling versus bootstrapping in resampling-based model selection for multivariable regression. Department of Statistics: Technical Reports, Nr. 171 [PDF, 379kB]

Rospleszcz, Susanne; Janitza, Silke und Boulesteix, Anne-Laure (7. August 2014): Categorical variables with many categories are preferentially selected in model selection procedures for multivariable regression models on bootstrap samples. Department of Statistics: Technical Reports, Nr. 164 [PDF, 604kB]

Hornung, Roman; Bernau, Christoph; Truntzer, Caroline; Stadler, Thomas und Boulesteix, Anne-Laure (16. April 2014): Full versus incomplete cross-validation: measuring the impact of imperfect separation between training and test sets in prediction error estimation. Department of Statistics: Technical Reports, Nr. 159 [PDF, 580kB]

De Bin, Riccardo; Herold, Tobias und Boulesteix, Anne-Laure (18. Februar 2014): Added predictive value of omics data: specific issues related to validation illustrated by two case studies. Department of Statistics: Technical Reports, Nr. 154 [PDF, 542kB]

Fuchs, Mathias; Hornung, Roman; De Bin, Riccardo und Boulesteix, Anne-Laure (12. November 2013): A U-statistic estimator for the variance of resampling-based error estimators. Department of Statistics: Technical Reports, Nr. 148 [PDF, 323kB]

De Bin, Riccardo; Sauerbrei, Willi und Boulesteix, Anne-Laure (31. Oktober 2013): Investigating the prediction ability of survival models based on both clinical and omics data: two case studies. Department of Statistics: Technical Reports, Nr. 153 [PDF, 453kB]

Boulesteix, Anne-Laure; Lauer, Sabine und Eugster, Manuel J. A. (Januar 2013): A plea for neutral comparison studies in computational sciences. Department of Statistics: Technical Reports, Nr. 135 [PDF, 485kB]

Boulesteix, Anne-Laure; Hable, Robert; Lauer, Sabine und Eugster, Manuel J. A. (Januar 2013): A Statistical Framework for Hypothesis Testing in Real Data Comparison Studies. Department of Statistics: Technical Reports, Nr. 136 [PDF, 413kB]

Guillemot, Vincent; Bender, Andreas und Boulesteix, Anne-Laure (Dezember 2012): iPACOSE: an iterative algorithm for the estimation of gene regulation networks. Department of Statistics: Technical Reports, Nr. 133 [PDF, 423kB]

Janitza, Silke; Strobl, Carolin und Boulesteix, Anne-Laure (November 2012): An AUC-based Permutation Variable Importance Measure for Random Forests. Department of Statistics: Technical Reports, Nr. 130 [PDF, 470kB]

Boulesteix, Anne-Laure; Janitza, Silke; Kruppa, Jochen und König, Inke R. (25. Juli 2012): Overview of Random Forest Methodology and Practical Guidance with Emphasis on Computational Biology and Bioinformatics. Department of Statistics: Technical Reports, Nr. 129 [PDF, 376kB]

Boulesteix, Anne-Laure; Bender, Andreas; Lorenzo Bermejo, Justo und Strobl, Carolin (2. Mai 2011): Random forest Gini importance favors SNPs with large minor allele frequency. Department of Statistics: Technical Reports, Nr. 106 Briefings in Bioinformatics, 13 [PDF, 962kB]

Bernau, Christoph; Augustin, Thomas und Boulesteix, Anne-Laure (April 2011): Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation. Department of Statistics: Technical Reports, Nr. 105 [PDF, 708kB]

Guillemot, Vincent; Jelizarow, Monika; Tenenhaus, Arthur und Boulesteix, Anne-Laure (2011): SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data. Department of Statistics: Technical Reports, Nr. 107 [PDF, 483kB]

Boulesteix, Anne-Laure; Vincent, Guillemot und Willi, Sauerbrei (4. Mai 2010): Use of pre-transformation to cope with outlying values in important candidate genes. Department of Statistics: Technical Reports, Nr. 83 [PDF, 506kB]

Bernau, Christoph und Boulesteix, Anne-Laure (28. Januar 2010): Variable Selection and Parameter Tuning in High-Dimensional Prediction. Department of Statistics: Technical Reports, Nr. 76 [PDF, 448kB]

Boulesteix, Anne-Laure und Sauerbrei, Willi (2010): Added predictive value of high-throughput molecular data to clinical data, and its validation. Department of Statistics: Technical Reports, Nr. 87 Briefings in Bioinformatics, 12 [PDF, 278kB]

Boulesteix, Anne-Laure und Hothorn, Torsten (1. September 2009): Testing the additional predictive value of high-dimensional molecular data. Department of Statistics: Technical Reports, Nr. 64 [PDF, 439kB]

Boulesteix, Anne-Laure und Slawski, Martin (13. Mai 2009): Stability and aggregation of ranked gene lists. Department of Statistics: Technical Reports, Nr. 59 Briefings in Bioinformatics, 10 [PDF, 439kB]

Boulesteix, Anne-Laure und Strobl, Carolin (8. Mai 2009): Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction. Department of Statistics: Technical Reports, Nr. 58 BMC Medical Research Methodology (accepted for publication) [PDF, 321kB]

Krämer, Nicole; Schäfer, Juliane und Boulesteix, Anne-Laure (6. Mai 2009): Regularized estimation of large-scale gene association networks using graphical Gaussian models. Department of Statistics: Technical Reports, Nr. 57 BMC Bioinformatics (accepted for publication) [PDF, 546kB]

Slawski, Martin; Daumer, Martin und Boulesteix, Anne-Laure (30. Mai 2008): CMA - A comprehensive Bioconductor package for supervised classification with high dimensional data. Department of Statistics: Technical Reports, Nr. 29 [PDF, 456kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Kneib, Thomas; Augustin, Thomas und Zeileis, Achim (28. März 2008): Conditional Variable Importance for Random Forests. Department of Statistics: Technical Reports, Nr. 23 [PDF, 394kB]

Boulesteix, Anne-Laure; Strobl, Carolin; Weidinger, S.; Wichmann, Heinz-Erich und Wagenpfeil, S. (2007): Multiple testing for SNP-SNP interactions. Department of Statistics: Technical Reports, Nr. 4 [PDF, 928kB]

Boulesteix, Anne-Laure; Strobl, Carolin; Augustin, Thomas und Daumer, Martin (2007): Evaluating microarray-based classifiers: an overview. Department of Statistics: Technical Reports, Nr. 5 [PDF, 422kB]

Boulesteix, Anne-Laure und Strobl, Carolin (2006): Maximally selected chi-square statistics and umbrella orderings. Sonderforschungsbereich 386, Discussion Paper 476 [PDF, 272kB]

Krämer, N.; Boulesteix, Anne-Laure und Tutz, Gerhard (2006): Penalized Partial Least Squares Based on B-Splines Transformations. Sonderforschungsbereich 386, Discussion Paper 485 [PDF, 392kB]

Strobl, Carolin; Boulesteix, Anne-Laure; Zeileis, Achim und Hothorn, Torsten (2006): Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution. Sonderforschungsbereich 386, Discussion Paper 490 [PDF, 574kB]

Boulesteix, Anne-Laure (2005): Maximally selected chi-square statistics for at least ordinal scaled variables. Sonderforschungsbereich 386, Discussion Paper 407 [PDF, 238kB]

Boulesteix, Anne-Laure und Strimmer, Korbinian (2005): Predicting Transcription Factor Activities from Combined Analysis of Microarray and ChIP Data: A Partial Least Squares Approach. Sonderforschungsbereich 386, Discussion Paper 411 [PDF, 260kB]

Boulesteix, Anne-Laure (2005): Maximally selected chi-square statistics and binary splits of nominal variables. Sonderforschungsbereich 386, Discussion Paper 449 [PDF, 261kB]

Boulesteix, Anne-Laure und Strimmer, Korbinian (2005): Partial Least Squares: A Versatile Tool for the Analysis of High-Dimensional Genomic Data. Sonderforschungsbereich 386, Discussion Paper 457 [PDF, 197kB]

Strobl, Carolin; Boulesteix, Anne-Laure und Augustin, Thomas (2005): Unbiased split selection for classification trees based on the Gini Index. Sonderforschungsbereich 386, Discussion Paper 464 [PDF, 237kB]

Boulesteix, Anne-Laure und Tutz, Gerhard (2004): Identification of Interaction Patterns and Classification with Applications to Microarray Data. Sonderforschungsbereich 386, Discussion Paper 369 [PDF, 317kB]

Boulesteix, Anne-Laure (2004): PLS dimension reduction for classification of microarray data. Sonderforschungsbereich 386, Discussion Paper 392 [PDF, 276kB]

Boulesteix, Anne-Laure (2004): A note on between-group PCA. Sonderforschungsbereich 386, Discussion Paper 397 [PDF, 174kB]

Boulesteix, Anne-Laure und Tutz, Gerhard (2003): A Framework to Discover Emerging Patterns for Application in Microarray Data. Sonderforschungsbereich 386, Discussion Paper 313 [PDF, 232kB]

Boulesteix, Anne-Laure; Hösel, V. und Liebscher, V. (2003): Stochastic modeling for the COMET-assay. Sonderforschungsbereich 386, Discussion Paper 336 [PDF, 229kB]

Buchbeitrag

Boulesteix, Anne-Laure (2016): Which Resampling-Based Error Estimator for Benchmark Studies? A Power Analysis with Application to PLS-LDA. In: Multiple Facets of Partial Least Squares and Related Methods: PLS, Paris, France, 2014. Springer Proceedings in Mathematics & Statistics, Bd. 173. Springer. S. 45-57

Konferenzbeitrag

Herrmann, Moritz ORCID logoORCID: https://orcid.org/0000-0002-4893-5812; Lange, F. Julian D.; Eggensperger, Katharina; Casalicchio, Giuseppe; Wever, Marcel ORCID logoORCID: https://orcid.org/0000-0001-9782-6818; Feurer, Matthias; Rügamer, David ORCID logoORCID: https://orcid.org/0000-0002-8772-9202; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108; Boulesteix, Anne-Laure und Bischl, Bernd (Juli 2024): Position: Why We Must Rethink Empirical Research in Machine Learning. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21. - 27. July 2024. In: Proceedings of the 41st International Conference on Machine Learning, Proceedings of Machine Learning Research Bd. 235 PMLR. S. 18228-18247 [PDF, 334kB]

Oelker, Magret-Ruth und Boulesteix, Anne-Laure (2013): On the simultaneous analysis of clinical and omics Data - a comparison of globalboosttest and pre-validation Techniques. 8th Scientific Meeting of the Classification and Data Analysis Group. Giudici, Paolo; Ingrassia, Salvatore und Vichi, Maurizio (Hrsg.): In: Proceedings of the 8th Scientific Meeting of the Classification and Data Analysis Group of the Italian Statistical Society, S. 259-268

Guillemot, Vincent; Jelizarow, Monika; Tenenhaus, Arthur und Boulesteix, Anne-Laure (August 2011): SHrinkage Covariance Estimation Incorporating Prior Biological Knowledge with Applications to High-Dimensional Data. 58th World Statistics Congress of the International Statistical Institute (ISI), Dublin, 21st to the 26th August. [PDF, 483kB]

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