Working group

of Ditzhaus

R-packages

• GFDrmst: available on CRAN and as a SHINY-App. This package consists multiple tests based on the restricted mean survival time (RMST) for general factorial designs as described in Munko et al. (2024, Stat. Med.) 

Publications

• Munko, Ditzhaus, Dobler, Genuneit (2024). RMST-based multiple contrast tests in general factorial designs. Statistics in Medicine. 2024; 1-18. doi: 10.1002/sim.10017 (Open Access)

Preprints

• Munko, Ditzhaus, Pauly, Smaga and Zhang (2023). General multiple tests for functional data. (arXiv:2306.15259)

Theses

• Master's thesis: "MultiFANOVA: Multiple Contrast Tests for Functional Data" (2022). This thesis was awarded by the DStatG as the best master's thesis.
• Bachelor's thesis: "Grenzwertsätze mit Anwendung in der Statistik" (2020).

• Biostatistics
• Factorial Designs
• Functional Data Analysis
• Multiple Testing
• Nonparametric Statistics
• Resampling Procedures
• Survival Analysis

Summer semester 2023

Statistik mit R E-Learning

• MultiFANOVA: Multiple Contrast Tests for Functional Data. German Probability and Statistics Days 2023 in Essen
• MultiFANOVA: Multiple Contrast Tests for Functional Data. Workshop on Nonparametric procedures for medical multisample comparison studies 2023 in Remagen
• Multiple Tests für funktionale Daten. DMV-Studierendenkonferenz 2023 in Bremen. This talk was awarded by the MPI MiS.
• MultiFANOVA: Multiple Contrast Tests for Functional Data (invited). Conference of the Central European Network 2023 in Basel
• Multiple Contrast Tests for the RMST in General Factorial Designs. Survival Analysis for Junior Researchers conference 2023 in Ulm
  
• Surviving the multiple testing problem: RMST-based tests in general factorial designs (invited). CMStatistics 2023 in Berlin
• Surviving the multiple testing problem: RMST-based tests in general factorial designs. Biometric Colloquium 2024 in Lübeck