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08/15/2023
How to Simulate Realistic Survival Data? A Simulation Study to Compare Realistic Simulation Models
In statistics, it is important to have realistic data sets available for...
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06/27/2023
General multiple tests for functional data
While there exists several inferential methods for analyzing functional ...
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04/14/2023
The Self-Perception and Political Biases of ChatGPT
This contribution analyzes the self-perception and political biases of O...
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03/14/2023
RODD: Robust Outlier Detection in Data Cubes
Data cubes are multidimensional databases, often built from several sepa...
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03/13/2023
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics – A simulation study
Many planning and decision activities in logistics and supply chain mana...
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01/19/2023
Dataset Bias in Human Activity Recognition
When creating multi-channel time-series datasets for Human Activity Reco...
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01/09/2023
The impact of neglected confounding and interactions in mixed-effects meta-regression
Analysts seldom include interaction terms in meta-regression model, what...
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12/02/2022
Using meta-analytic priors to incorporate external information for study evaluation
Background: The COVID-19 pandemic has had a profound impact on health, e...
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11/28/2022
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs
Multivariate analysis-of-variance (MANOVA) is a well established tool to...
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10/26/2022
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models
Many production processes are characterized by numerous and complex caus...
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10/24/2022
A comparative study to alternatives to the log-rank test
Studies to compare the survival of two or more groups using time-to-even...
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09/09/2022
Testing Hypotheses about Correlation Matrices in General MANOVA Designs
Correlation matrices are an essential tool for investigating the depende...
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08/02/2022
The nonparametric Behrens-Fisher problem in small samples
While there appears to be a general consensus in the literature on the d...
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07/19/2022
Inference for high-dimensional split-plot designs with different dimensions between groups
In repeated Measure Designs with multiple groups, the primary purpose is...
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03/04/2022
Cluster-Robust Estimators for Bivariate Mixed-Effects Meta-Regression
Meta-analyses frequently include trials that report multiple effect size...
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01/14/2022
Estimating Gaussian Copulas with Missing Data
In this work we present a rigorous application of the Expectation Maximi...
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01/14/2022
Robust Confidence Intervals for Meta-Regression with Correlated Moderators
Mixed-effects meta-regression models provide a powerful tool for evidenc...
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01/14/2022
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Tree-based ensembles such as the Random Forest are modern classics among...
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12/09/2021
On the Relation between Prediction and Imputation Accuracy under Missing Covariates
Missing covariates in regression or classification problems can prohibit...
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08/06/2021
On the role of data, statistics and decisions in a pandemic
A pandemic poses particular challenges to decision-making with regard to...
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05/28/2021
pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules
A key task in multi-label classification is modeling the structure betwe...
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02/04/2021
Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach
In many life science experiments or medical studies, subjects are repeat...
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01/19/2021
Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis
In statistical survey analysis, (partial) non-responders are integral el...
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09/13/2020
Is there a role for statistics in artificial intelligence?
The research on and application of artificial intelligence (AI) has trig...
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09/03/2020
Fisher transformation based Confidence Intervals of Correlations in Fixed- and Random-Effects Meta-Analysis
Meta-analyses of correlation coefficients are an important technique to ...
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06/25/2020
Inferring median survival differences in general factorial designs via permutation tests
Factorial survival designs with right-censored observations are commonly...
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05/28/2020
Travel Time Prediction using Tree-Based Ensembles
In this paper, we consider the task of predicting travel times between t...
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04/22/2020
Permutation inference in factorial survival designs with the CASANOVA
We propose inference procedures for general nonparametric factorial surv...
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12/19/2019
QANOVA: Quantile-based Permutation Methods For General Factorial Designs
Population means and standard deviations are the most common estimands t...
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12/10/2019
Asymptotic based bootstrap approach for matched pairs with missingness in a single-arm
The issue of missing values is an arising difficulty when dealing with p...
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12/05/2019
Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models
Variable selection in sparse regression models is an important task as a...
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09/13/2019
Testing Hypotheses about Covariance Matrices in General MANOVA Designs
We introduce a unified approach to testing a variety of rather general n...
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02/26/2019
Multivariate analysis of covariance when standard assumptions are violated
In applied research, it is often sensible to account for one or several ...
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12/15/2018
Consistent Estimation of Residual Variance with Random Forest Out-Of-Bag Errors
The issue of estimating residual variance in regression models has exper...
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08/27/2018
The Behrens-Fisher Problem with Covariates and Baseline Adjustments
The Welch-Satterthwaite t-test is one of the most prominent and often us...
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08/16/2018
Wild bootstrap logrank tests with broader power functions for testing superiority
We introduce novel wild bootstrap procedures for testing superiority in ...
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08/01/2018
Wild Bootstrap based Confidence Bands for Multiplicative Hazards Models
We propose new resampling-based approaches to construct asymptotically v...
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07/27/2018
Survival of the Fittest Group: Factorial Analyses of Treatment Effects under Independent Right-Censoring
This paper introduces new effect parameters for factorial survival desig...
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06/18/2018
A cautionary tale on using imputation methods for inference in matched pairs design
Imputation procedures in biomedical fields have turned into statistical ...
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02/15/2018
Ranks and Pseudo-Ranks - Paradoxical Results of Rank Tests -
Rank-based inference methods are applied in various disciplines, typical...
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01/26/2018
Multiplication-Combination Tests for Incomplete Paired Data
We consider statistical procedures for hypothesis testing of real valued...
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01/24/2018
Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM
The numerical availability of statistical inference methods for a modern...
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12/19/2017
Nonparametric MANOVA in Mann-Whitney effects
Multivariate analysis of variance (MANOVA) is a powerful and versatile m...
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11/30/2017
Who wins the Miss Contest for Imputation Methods? Our Vote for Miss BooPF
Missing data is an expected issue when large amounts of data is collecte...
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10/12/2017
