b'Markus Pauly'

research

∙ 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...

0 Maria Thurow, et al. ∙

research

∙ 06/27/2023

General multiple tests for functional data

While there exists several inferential methods for analyzing functional ...

0 Merle Munko, et al. ∙

research

∙ 04/14/2023

The Self-Perception and Political Biases of ChatGPT

This contribution analyzes the self-perception and political biases of O...

0 Jérôme Rutinowski, et al. ∙

research

∙ 03/14/2023

RODD: Robust Outlier Detection in Data Cubes

Data cubes are multidimensional databases, often built from several sepa...

0 Lara Kuhlmann, et al. ∙

research

∙ 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...

0 Lena Schmid, et al. ∙

research

∙ 01/19/2023

Dataset Bias in Human Activity Recognition

When creating multi-channel time-series datasets for Human Activity Reco...

0 Nilah Ravi Nair, et al. ∙

research

∙ 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...

0 Eric S. Knop, et al. ∙

research

∙ 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...

0 Thilo Welz, et al. ∙

research

∙ 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...

0 Marléne Baumeister, et al. ∙

research

∙ 10/26/2022

Learning Causal Graphs in Manufacturing Domains using Structural Equation Models

Many production processes are characterized by numerous and complex caus...

0 Maximilian Kertel, et al. ∙

research

∙ 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...

0 Ina Dormuth, et al. ∙

research

∙ 09/09/2022

Testing Hypotheses about Correlation Matrices in General MANOVA Designs

Correlation matrices are an essential tool for investigating the depende...

0 Paavo Sattler, et al. ∙

research

∙ 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...

0 Claus P. Nowak, et al. ∙

research

∙ 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...

0 Paavo Sattler, et al. ∙

research

∙ 03/04/2022

Cluster-Robust Estimators for Bivariate Mixed-Effects Meta-Regression

Meta-analyses frequently include trials that report multiple effect size...

0 Thilo Welz, et al. ∙

research

∙ 01/14/2022

Estimating Gaussian Copulas with Missing Data

In this work we present a rigorous application of the Expectation Maximi...

0 Maximilian Kertel, et al. ∙

research

∙ 01/14/2022

Robust Confidence Intervals for Meta-Regression with Correlated Moderators

Mixed-effects meta-regression models provide a powerful tool for evidenc...

0 Eric S. Knop, et al. ∙

research

∙ 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...

13 Lena Schmid, et al. ∙

research

∙ 12/09/2021

On the Relation between Prediction and Imputation Accuracy under Missing Covariates

Missing covariates in regression or classification problems can prohibit...

12 Burim Ramosaj, et al. ∙

research

∙ 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...

0 Beate Jahn, et al. ∙

research

∙ 05/28/2021

pRSL: Interpretable Multi-label Stacking by Learning Probabilistic Rules

A key task in multi-label classification is modeling the structure betwe...

0 Michael Kirchhof, et al. ∙

research

∙ 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...

0 Lubna Amro, et al. ∙

research

∙ 01/19/2021

Goodness (of fit) of Imputation Accuracy: The GoodImpact Analysis

In statistical survey analysis, (partial) non-responders are integral el...

0 Maria Thurow, et al. ∙

research

∙ 09/13/2020

Is there a role for statistics in artificial intelligence?

The research on and application of artificial intelligence (AI) has trig...

0 Sarah Friedrich, et al. ∙

research

∙ 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 ...

0 Thilo Welz, et al. ∙

research

∙ 06/25/2020

Inferring median survival differences in general factorial designs via permutation tests

Factorial survival designs with right-censored observations are commonly...

0 Marc Ditzhaus, et al. ∙

research

∙ 05/28/2020

Travel Time Prediction using Tree-Based Ensembles

In this paper, we consider the task of predicting travel times between t...

11 He Huang, et al. ∙

research

∙ 04/22/2020

Permutation inference in factorial survival designs with the CASANOVA

We propose inference procedures for general nonparametric factorial surv...

0 Marc Ditzhaus, et al. ∙

research

∙ 12/19/2019

QANOVA: Quantile-based Permutation Methods For General Factorial Designs

Population means and standard deviations are the most common estimands t...

0 Marc Ditzhaus, et al. ∙

research

∙ 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...

0 Lubna Amro, et al. ∙

research

∙ 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...

0 Burim Ramosaj, et al. ∙

research

∙ 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...

0 Paavo Sattler, et al. ∙

research

∙ 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 ...

0 Georg Zimmermann, et al. ∙

research

∙ 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...

0 Burim Ramosaj, et al. ∙

research

∙ 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...

0 Cong Cao, et al. ∙

research

∙ 08/16/2018

Wild bootstrap logrank tests with broader power functions for testing superiority

We introduce novel wild bootstrap procedures for testing superiority in ...

0 Marc Ditzhaus, et al. ∙

research

∙ 08/01/2018

Wild Bootstrap based Confidence Bands for Multiplicative Hazards Models

We propose new resampling-based approaches to construct asymptotically v...

0 Dennis Dobler, et al. ∙

research

∙ 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...

0 Dennis Dobler, et al. ∙

research

∙ 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 ...

0 Burim Ramosaj, et al. ∙

research

∙ 02/15/2018

Ranks and Pseudo-Ranks - Paradoxical Results of Rank Tests -

Rank-based inference methods are applied in various disciplines, typical...

0 Edgar Brunner, et al. ∙

research

∙ 01/26/2018

Multiplication-Combination Tests for Incomplete Paired Data

We consider statistical procedures for hypothesis testing of real valued...

0 Lubna Amro, et al. ∙

research

∙ 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...

0 Sarah Friedrich, et al. ∙

research

∙ 12/19/2017

Nonparametric MANOVA in Mann-Whitney effects

Multivariate analysis of variance (MANOVA) is a powerful and versatile m...

0 Dennis Dobler, et al. ∙

research

∙ 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...

0 Burim Ramosaj, et al. ∙

research

∙ 10/12/2017

Wild Bootstrapping Rank-Based Procedures: Multiple Testing in Nonparametric Split-Plot Designs

Split-plot or repeated measures designs are frequently used for planning...

0 Maria Umlauft, et al. ∙

Markus Pauly

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