Saved in:
| Main Authors: | Peschel, Stefanie, Boulesteix, Anne-Laure, von Mutius, Erika, Müller, Christian L. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.22975 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment
by: Nießl, Christina, et al.
Published: (2022)
by: Nießl, Christina, et al.
Published: (2022)
Outlier Detection in Mendelian Randomisation
by: Mandl, Maximilian M, et al.
Published: (2025)
by: Mandl, Maximilian M, et al.
Published: (2025)
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
by: Nießl, Christina, et al.
Published: (2021)
by: Nießl, Christina, et al.
Published: (2021)
Statistical parametric simulation studies based on real data
by: Sauer, Christina, et al.
Published: (2025)
by: Sauer, Christina, et al.
Published: (2025)
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
by: Barreñada, Lasai, et al.
Published: (2024)
by: Barreñada, Lasai, et al.
Published: (2024)
Addressing researcher degrees of freedom through minP adjustment
by: Mandl, Maximilian M, et al.
Published: (2024)
by: Mandl, Maximilian M, et al.
Published: (2024)
On "Confirmatory" Methodological Research in Statistics and Related Fields
by: Lange, F. J. D., et al.
Published: (2025)
by: Lange, F. J. D., et al.
Published: (2025)
Rethinking the handling of method failure in comparison studies
by: Wünsch, Milena, et al.
Published: (2024)
by: Wünsch, Milena, et al.
Published: (2024)
Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications
by: Sauer, Christina, et al.
Published: (2024)
by: Sauer, Christina, et al.
Published: (2024)
A general nonparametric framework for testing hypotheses about function-valued parameters
by: Osom, Albert, et al.
Published: (2026)
by: Osom, Albert, et al.
Published: (2026)
The conditional saddlepoint approximation for fast and accurate large-scale hypothesis testing
by: Niu, Ziang, et al.
Published: (2024)
by: Niu, Ziang, et al.
Published: (2024)
Sandwich regression for accurate and robust estimation in generalized linear multilevel and longitudinal models
by: Young, Elliot H., et al.
Published: (2024)
by: Young, Elliot H., et al.
Published: (2024)
Proposal of a general framework to categorize continuous predictor variables
by: Barrio, Irantzu, et al.
Published: (2024)
by: Barrio, Irantzu, et al.
Published: (2024)
A general framework for probabilistic model uncertainty
by: Shirvaikar, Vik, et al.
Published: (2024)
by: Shirvaikar, Vik, et al.
Published: (2024)
A general framework for formulating structured variable selection
by: Wang, Guanbo, et al.
Published: (2021)
by: Wang, Guanbo, et al.
Published: (2021)
Active multiple testing with proxy p-values and e-values
by: Xu, Ziyu, et al.
Published: (2025)
by: Xu, Ziyu, et al.
Published: (2025)
On the permutation equivariance principle for causal estimands
by: Tong, Jiaqi, et al.
Published: (2025)
by: Tong, Jiaqi, et al.
Published: (2025)
A studentized permutation test for the treatment effect in individual participant data meta-analysis
by: Tran, Phuc Thien, et al.
Published: (2025)
by: Tran, Phuc Thien, et al.
Published: (2025)
Bayesian models for missing and misclassified variables using integrated nested Laplace approximations
by: Skarstein, Emma, et al.
Published: (2024)
by: Skarstein, Emma, et al.
Published: (2024)
A general sample size framework for developing or updating a clinical prediction model
by: Riley, Richard D, et al.
Published: (2025)
by: Riley, Richard D, et al.
Published: (2025)
Statistical process control via $p$-values
by: Nguyen, Hien Duy, et al.
Published: (2026)
by: Nguyen, Hien Duy, et al.
Published: (2026)
A general framework for modeling Gaussian process with qualitative and quantitative factors
by: Deng, Linsui, et al.
Published: (2026)
by: Deng, Linsui, et al.
Published: (2026)
A generalized distance covariance framework for genome-wide association studies
by: Edelmann, Dominic, et al.
Published: (2025)
by: Edelmann, Dominic, et al.
Published: (2025)
Root cause discovery via permutations and Cholesky decomposition
by: Li, Jinzhou, et al.
Published: (2024)
by: Li, Jinzhou, et al.
Published: (2024)
Testing for no effect in regression problems: a permutation approach
by: Ciszewski, Michał, et al.
Published: (2023)
by: Ciszewski, Michał, et al.
Published: (2023)
A general, flexible and harmonious framework to construct interpretable functions in regression analysis
by: Zhan, Tianyu, et al.
Published: (2025)
by: Zhan, Tianyu, et al.
Published: (2025)
Partially Bayes p-values for large scale inference
by: Ignatiadis, Nikolaos, et al.
Published: (2025)
by: Ignatiadis, Nikolaos, et al.
Published: (2025)
Spatio-temporal point process intensity estimation using zero-deflated subsampling applied to a lightning strikes dataset in France
by: Coeurjolly, Jean-François, et al.
Published: (2024)
by: Coeurjolly, Jean-François, et al.
Published: (2024)
The permuted score test for robust differential expression analysis
by: Barry, Timothy, et al.
Published: (2025)
by: Barry, Timothy, et al.
Published: (2025)
Selective inference is easier with p-values
by: Sood, Anav
Published: (2024)
by: Sood, Anav
Published: (2024)
A comparison of combined p-value functions for meta-analysis
by: Held, Leonhard, et al.
Published: (2024)
by: Held, Leonhard, et al.
Published: (2024)
Multiple testing with anytime-valid Monte Carlo p-values
by: Fischer, Lasse, et al.
Published: (2024)
by: Fischer, Lasse, et al.
Published: (2024)
Multiple testing using uniform filtering of ordered p-values
by: Jiang, Zhiwen, et al.
Published: (2024)
by: Jiang, Zhiwen, et al.
Published: (2024)
Multiple Testing of One-Sided Hypotheses with Conservative $p$-values
by: Seo, Kwangok, et al.
Published: (2025)
by: Seo, Kwangok, et al.
Published: (2025)
Residual permutation test for regression coefficient testing
by: Wen, Kaiyue, et al.
Published: (2022)
by: Wen, Kaiyue, et al.
Published: (2022)
Heavy-tailed $p$-value combinations from the perspective of extreme value theory
by: Rho, Yeonwoo
Published: (2024)
by: Rho, Yeonwoo
Published: (2024)
A generalized e-value feature detection method with FDR control at multiple resolutions
by: Yu, Chengyao, et al.
Published: (2024)
by: Yu, Chengyao, et al.
Published: (2024)
Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
by: Liang, Muxuan, et al.
Published: (2024)
by: Liang, Muxuan, et al.
Published: (2024)
Multiple change-point detection on the circle via isolation using permutation testing
by: Loizidou, Sophia, et al.
Published: (2026)
by: Loizidou, Sophia, et al.
Published: (2026)
Sensitivity analysis for nonignorable missing values in blended analysis framework: a study on the effect of bariatric surgery via electronic health records
by: Lee, Jungwun, et al.
Published: (2025)
by: Lee, Jungwun, et al.
Published: (2025)
Similar Items
-
Explaining the optimistic performance evaluation of newly proposed methods: a cross-design validation experiment
by: Nießl, Christina, et al.
Published: (2022) -
Outlier Detection in Mendelian Randomisation
by: Mandl, Maximilian M, et al.
Published: (2025) -
Over-optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results
by: Nießl, Christina, et al.
Published: (2021) -
Statistical parametric simulation studies based on real data
by: Sauer, Christina, et al.
Published: (2025) -
Understanding overfitting in random forest for probability estimation: a visualization and simulation study
by: Barreñada, Lasai, et al.
Published: (2024)