Search Results - "Hornung, Roman"

On the overestimation of random forest's out-of-bag error by Janitza, Silke, Hornung, Roman

“…The ensemble method random forests has become a popular classification tool in bioinformatics and related fields. The out-of-bag error is an error estimation…”
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Benchmark study of feature selection strategies for multi-omics data by Li, Yingxia, Mansmann, Ulrich, Du, Shangming, Hornung, Roman

“…Abstract Background In the last few years, multi-omics data, that is, datasets containing different types of high-dimensional molecular variables for the same…”
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Block Forests: random forests for blocks of clinical and omics covariate data by Hornung, Roman, Wright, Marvin N

“…In the last years more and more multi-omics data are becoming available, that is, data featuring measurements of several types of omics data for each patient…”
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Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study by Li, Yingxia, Herold, Tobias, Mansmann, Ulrich, Hornung, Roman

“…Predictive modeling based on multi-omics data, which incorporates several types of omics data for the same patients, has shown potential to outperform…”
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Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data by Klau, Simon, Jurinovic, Vindi, Hornung, Roman, Herold, Tobias, Boulesteix, Anne-Laure

“…The inclusion of high-dimensional omics data in prediction models has become a well-studied topic in the last decades. Although most of these methods do not…”
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Complement C3 identified as a unique risk factor for disease severity among young COVID-19 patients in Wuhan, China by Cheng, Weiting, Hornung, Roman, Xu, Kai, Yang, Cai hong, Li, Jian

“…Given that a substantial proportion of the subgroup of COVID-19 patients that face a severe disease course are younger than 60 years, it is critical to…”
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Introduction to statistical simulations in health research by Boulesteix, Anne-Laure, Groenwold, Rolf HH, Abrahamowicz, Michal, Binder, Harald, Briel, Matthias, Hornung, Roman, Morris, Tim P, Rahnenführer, Jörg, Sauerbrei, Willi

“…In health research, statistical methods are frequently used to address a wide variety of research questions. For almost every analytical challenge, different…”
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Single-center versus multi-center data sets for molecular prognostic modeling: a simulation study by Samaga, Daniel, Hornung, Roman, Braselmann, Herbert, Hess, Julia, Zitzelsberger, Horst, Belka, Claus, Boulesteix, Anne-Laure, Unger, Kristian

“…Prognostic models based on high-dimensional omics data generated from clinical patient samples, such as tumor tissues or biopsies, are increasingly used for…”
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A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples by Du, Shangming, Mansmann, Ulrich, Geisler, Benjamin P, Li, Yingxia, Hornung, Roman

“…Kawasaki disease (KD) is the leading cause of acquired heart disease in children. However, distinguishing KD from febrile infections early in the disease…”
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Ordinal Forests by Hornung, Roman

“…The ordinal forest method is a random forest–based prediction method for ordinal response variables. Ordinal forests allow prediction using both…”
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Efficient permutation testing of variable importance measures by the example of random forests by Hapfelmeier, Alexander, Hornung, Roman, Haller, Bernhard

“…Hypothesis testing of variable importance measures (VIMPs) is still the subject of ongoing research. This particularly applies to random forests (RF), for…”
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Machine learning for knowledge discovery with R: Methodologies for modeling, inference and prediction, Kao‐TaiTsai, Boca Raton, FL: Chapman and Hall/CRC Press.2021. 244 pages. Hardback price GBP 74.99. ISBN 9781032065366 by Hornung, Roman, Boulesteix, Anne‐Laure

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Large-scale benchmark study of survival prediction methods using multi-omics data by Herrmann, Moritz, Probst, Philipp, Hornung, Roman, Jurinovic, Vindi, Boulesteix, Anne-Laure

“…Abstract Multi-omics data, that is, datasets containing different types of high-dimensional molecular variables, are increasingly often generated for the…”
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2247 Influence of the diagnosis of atopic dermatitis in childhood on the course of kidney function in young adulthood: a single-center study by Wiegand, Sarah, Wagner, Andreas, Hornung, Roman, Fischereder, Michael

“…Abstract Background and Aims Several studies demonstrated non-osmotic sodium-storage, especially in the skin. Patients with chronic kidney disease often suffer…”
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Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects by Hornung, Roman, Boulesteix, Anne-Laure

“…Although interaction effects can be exploited to improve predictions and allow for valuable insights into covariate interplay, they are given limited attention…”
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Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment by Hornung, Roman, Boulesteix, Anne-Laure, Causeur, David

“…In the context of high-throughput molecular data analysis it is common that the observations included in a dataset form distinct groups; for example, measured…”
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Improving cross-study prediction through addon batch effect adjustment or addon normalization by Hornung, Roman, Causeur, David, Bernau, Christoph, Boulesteix, Anne-Laure

“…To date most medical tests derived by applying classification methods to high-dimensional molecular data are hardly used in clinical practice. This is partly…”
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Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative Study by Li, Yingxia, Mansmann, Ulrich, Du, Shangming, Hornung, Roman

“…Lung adenocarcinoma (LUAD) is a common and very lethal cancer. Accurate staging is a prerequisite for its effective diagnosis and treatment. Therefore,…”
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The impact of continuous non-invasive arterial blood pressure monitoring on blood pressure stability during general anaesthesia in orthopaedic patients: A randomised trial by Meidert, Agnes S, Nold, Johanna S, Hornung, Roman, Paulus, Alexander C, Zwißler, Bernhard, Czerner, Stephan

“…BACKGROUNDIn patients undergoing general anaesthesia, intraoperative hypotension occurs frequently and is associated with adverse outcomes such as…”
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Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study by Hornung, Roman, Ludwigs, Frederik, Hagenberg, Jonas, Boulesteix, Anne‐Laure

“…As the availability of omics data has increased in the last few years, more multi‐omics data have been generated, that is, high‐dimensional molecular data…”
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