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08/29/2023
From RNA sequencing measurements to the final results: a practical guide to navigating the choices and uncertainties of gene set analysis
Gene set analysis, a popular approach for analyzing high-throughput gene...
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02/08/2023
Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study
As the availability of omics data has increased in the last few years, m...
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01/24/2023
Improving Software Engineering in Biostatistics: Challenges and Opportunities
Programming is ubiquitous in applied biostatistics; adopting software en...
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09/27/2022
Phases of methodological research in biostatistics - building the evidence base for new methods
Although the biostatistical scientific literature publishes new methods ...
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09/05/2022
Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment
The constant development of new data analysis methods in many fields of ...
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07/13/2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
Most machine learning algorithms are configured by one or several hyperp...
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06/04/2021
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
In recent years, the need for neutral benchmark studies that focus on th...
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03/01/2021
Validation of cluster analysis results on validation data: A systematic framework
Cluster analysis refers to a wide range of data analytic techniques for ...
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03/07/2020
Large-scale benchmark study of survival prediction methods using multi-omics data
Multi-omics data, that is, datasets containing different types of high-d...
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04/10/2018
Hyperparameters and Tuning Strategies for Random Forest
The random forest algorithm (RF) has several hyperparameters that have t...
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02/26/2018
Tunability: Importance of Hyperparameters of Machine Learning Algorithms
Modern machine learning algorithms for classification or regression such...
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05/16/2017
To tune or not to tune the number of trees in random forest?
The number of trees T in the random forest (RF) algorithm for supervised...
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08/13/2012
