Zobrazeno 1 - 10
of 195
pro vyhledávání: '"Anne‐Laure Boulesteix"'
Publikováno v:
Diagnostic and Prognostic Research, Vol 8, Iss 1, Pp 1-14 (2024)
Abstract Background Random forests have become popular for clinical risk prediction modeling. In a case study on predicting ovarian malignancy, we observed training AUCs close to 1. Although this suggests overfitting, performance was competitive on t
Externí odkaz:
https://doaj.org/article/e0a3450ab9244d92851909742ecf816b
Autor:
Maximilian M. Mandl, Andrea S. Becker-Pennrich, Ludwig C. Hinske, Sabine Hoffmann, Anne-Laure Boulesteix
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract When different researchers study the same research question using the same dataset they may obtain different and potentially even conflicting results. This is because there is often substantial flexibility in researchers’ analytical choice
Externí odkaz:
https://doaj.org/article/30a761db2fda41a58de6666d23346e17
Publikováno v:
BMJ Medicine, Vol 3, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/29a0ca9c338a4056a0b0ce0a5820723e
Autor:
Maximilian M Mandl, Sabine Hoffmann, Sebastian Bieringer, Anna E Jacob, Marie Kraft, Simon Lemster, Anne-Laure Boulesteix
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 3, p e1011936 (2024)
Throughout their education and when reading the scientific literature, students may get the impression that there is a unique and correct analysis strategy for every data analysis task and that this analysis strategy will always yield a significant a
Externí odkaz:
https://doaj.org/article/3123ed2cac6c4a8d9d1b38ed54969d6b
Autor:
Jörg Rahnenführer, Riccardo De Bin, Axel Benner, Federico Ambrogi, Lara Lusa, Anne-Laure Boulesteix, Eugenia Migliavacca, Harald Binder, Stefan Michiels, Willi Sauerbrei, Lisa McShane, for topic group “High-dimensional data” (TG9) of the STRATOS initiative
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-54 (2023)
Abstract Background In high-dimensional data (HDD) settings, the number of variables associated with each observation is very large. Prominent examples of HDD in biomedical research include omics data with a large number of variables such as many mea
Externí odkaz:
https://doaj.org/article/4341909edf664733b9e0a8f2c0eedbe3
Autor:
Natascha Ingrid Drude, Lorena Martinez-Gamboa, Meggie Danziger, Anja Collazo, Silke Kniffert, Janine Wiebach, Gustav Nilsonne, Frank Konietschke, Sophie K. Piper, Samuel Pawel, Charlotte Micheloud, Leonhard Held, Florian Frommlet, Daniel Segelcke, Esther M. Pogatzki-Zahn, Bernhard Voelkl, Tim Friede, Edgar Brunner, Astrid Dempfle, Bernhard Haller, Marie Juliane Jung, Lars Björn Riecken, Hans-Georg Kuhn, Matthias Tenbusch, Lina Maria Serna Higuita, Edmond J. Remarque, Servan Luciano Grüninger-Egli, Katrin Manske, Sebastian Kobold, Marion Rivalan, Lisa Wedekind, Juliane C. Wilcke, Anne-Laure Boulesteix, Marcus W. Meinhardt, Rainer Spanagel, Simone Hettmer, Irene von Lüttichau, Carla Regina, Ulrich Dirnagl, Ulf Toelch
Publikováno v:
Translational Medicine Communications, Vol 7, Iss 1, Pp 1-13 (2022)
Abstract Clinical translation from bench to bedside often remains challenging even despite promising preclinical evidence. Among many drivers like biological complexity or poorly understood disease pathology, preclinical evidence often lacks desired
Externí odkaz:
https://doaj.org/article/bf47b97f5e2949fb928a3da8d60cd224
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-7 (2022)
Abstract Background Guideline-based therapy of cardiac arrhythmias is important for many physicians from the beginning of their training. Practical training of the required skills to treat cardiac arrhythmias is useful for acquiring these skills but
Externí odkaz:
https://doaj.org/article/e596444999d34cd4aa3b4dcac9e0403a
Autor:
Farina Hodiamont, Caroline Schatz, Daniela Gesell, Reiner Leidl, Anne-Laure Boulesteix, Friedemann Nauck, Julia Wikert, Maximiliane Jansky, Steven Kranz, Claudia Bausewein
Publikováno v:
BMC Palliative Care, Vol 21, Iss 1, Pp 1-9 (2022)
Abstract Background A casemix classification based on patients’ needs can serve to better describe the patient group in palliative care and thus help to develop adequate future care structures and enable national benchmarking and quality control. H
Externí odkaz:
https://doaj.org/article/19f3249002a84fba95dc552d42609422
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 1, p e1010820 (2023)
In recent years, unsupervised analysis of microbiome data, such as microbial network analysis and clustering, has increased in popularity. Many new statistical and computational methods have been proposed for these tasks. This multiplicity of analysi
Externí odkaz:
https://doaj.org/article/71e68bf1a3304669b4dab07b57c290ef
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-8 (2021)
Abstract Most research articles presenting new data analysis methods claim that “the new method performs better than existing methods,” but the veracity of such statements is questionable. Our manuscript discusses and illustrates consequences of
Externí odkaz:
https://doaj.org/article/af463957588640b9954e81012da31227