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On the overestimation of random forest's out-of-bag error

PloS one, 2018-08, Vol.13 (8), p.e0201904-e0201904

2018

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Benchmark study of feature selection strategies for multi-omics data

BMC bioinformatics, 2022-10, Vol.23 (1), p.1-412, Article 412

2022

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Block Forests: random forests for blocks of clinical and omics covariate data

BMC bioinformatics, 2019-06, Vol.20 (1), p.358-358, Article 358

2019

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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

BMC medical informatics and decision making, 2024-09, Vol.24 (1), p.244-14, Article 244

2024

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Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data

BMC bioinformatics, 2018-09, Vol.19 (1), p.322-322, Article 322

2018

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Complement C3 identified as a unique risk factor for disease severity among young COVID-19 patients in Wuhan, China

Scientific reports, 2021-04, Vol.11 (1), p.7857-10, Article 7857

2021

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Introduction to statistical simulations in health research

BMJ open, 2020-12, Vol.10 (12), p.e039921-e039921

2020

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Ordinal Forests

Journal of classification, 2020-04, Vol.37 (1), p.4-17

Hornung, Roman

2020

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Single-center versus multi-center data sets for molecular prognostic modeling: a simulation study

Radiation oncology (London, England), 2020-05, Vol.15 (1), p.109-14, Article 109

2020

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A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples

Frontiers in pediatrics, 2022-01, Vol.9, p.769937-769937

2022

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Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests

SN computer science, 2022, Vol.3 (1), p.1-1, Article 1

Hornung, Roman

2022

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Efficient permutation testing of variable importance measures by the example of random forests

Computational statistics & data analysis, 2023-05, Vol.181, p.107689, Article 107689

2023

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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

Biometrical journal, 2022-04, Vol.64 (4), p.822-823

2022

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Large-scale benchmark study of survival prediction methods using multi-omics data

Briefings in bioinformatics, 2021-05, Vol.22 (3)

2021

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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

Nephrology, dialysis, transplantation, 2024-05, Vol.39 (Supplement_1)

2024

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Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects

Computational statistics & data analysis, 2022-07, Vol.171, p.107460, Article 107460

2022

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Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment

BMC bioinformatics, 2016-01, Vol.17 (13), p.27-27, Article 27

2016

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Improving cross-study prediction through addon batch effect adjustment or addon normalization

Bioinformatics (Oxford, England), 2017-02, Vol.33 (3), p.397-404

2017

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Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative Study

Genes, 2021-11, Vol.12 (12), p.1872

2021

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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

European journal of anaesthesiology, 2017-11, Vol.34 (11), p.716-722

2017

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Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study

Wiley interdisciplinary reviews. Computational statistics, 2024-01, Vol.16 (1), p.e1626-n/a

2024

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On the asymptotic behaviour of the variance estimator of a U-statistic

Journal of statistical planning and inference, 2020-12, Vol.209, p.101-111

2020

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Evaluating the best empirical antibiotic therapy in patients with acute-on-chronic liver failure and spontaneous bacterial peritonitis

Digestive and liver disease, 2019-09, Vol.51 (9), p.1300-1307

2019

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Do higher alarm thresholds for arterial blood pressure lead to less perioperative hypotension? A retrospective, observational cohort study

Journal of clinical monitoring and computing, 2023-02, Vol.37 (1), p.275-285

2023

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Risk Stratification of Patients with RUNX1- mutated Acute Myeloid Leukemia

Blood, 2023-11, Vol.142 (Supplement 1), p.2934-2934

2023

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On the overestimation of random forest's out-of-bag error

Benchmark study of feature selection strategies for multi-omics data

Block Forests: random forests for blocks of clinical and omics covariate data

Does combining numerous data types in multi-omics data improve or hinder performance in survival prediction? Insights from a large-scale benchmark study

Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data

Complement C3 identified as a unique risk factor for disease severity among young COVID-19 patients in Wuhan, China

Introduction to statistical simulations in health research

Ordinal Forests

Single-center versus multi-center data sets for molecular prognostic modeling: a simulation study

A Diagnostic Model for Kawasaki Disease Based on Immune Cell Characterization From Blood Samples

Diversity Forests: Using Split Sampling to Enable Innovative Complex Split Procedures in Random Forests

Efficient permutation testing of variable importance measures by the example of random forests

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

Large-scale benchmark study of survival prediction methods using multi-omics data

2247 Influence of the diagnosis of atopic dermatitis in childhood on the course of kidney function in young adulthood: a single-center study

Interaction forests: Identifying and exploiting interpretable quantitative and qualitative interaction effects

Combining location-and-scale batch effect adjustment with data cleaning by latent factor adjustment

Improving cross-study prediction through addon batch effect adjustment or addon normalization

Synergistic Effects of Different Levels of Genomic Data for the Staging of Lung Adenocarcinoma: An Illustrative Study

The impact of continuous non-invasive arterial blood pressure monitoring on blood pressure stability during general anaesthesia in orthopaedic patients: A randomised trial

Prediction approaches for partly missing multi‐omics covariate data: A literature review and an empirical comparison study

On the asymptotic behaviour of the variance estimator of a U-statistic

Evaluating the best empirical antibiotic therapy in patients with acute-on-chronic liver failure and spontaneous bacterial peritonitis

Do higher alarm thresholds for arterial blood pressure lead to less perioperative hypotension? A retrospective, observational cohort study

Risk Stratification of Patients with RUNX1- mutated Acute Myeloid Leukemia

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