Department of Medical Statistics, University Goettingen

JProf. Dr. Sarah Friedrich


Group Head
Computational Statistics
Phone:
0551-39-64064
Telefax:
0551-39-4995
E-Mail:
Sarah.Friedrich@med.uni-goettingen.de
Office room:
Humboldtallee 32, GF 137
ORCID iD:
 http://orcid.org/0000-0003-0291-4378
Fields of Research
Short biography

[Since 08/2019] Assistant Professor at the Department of Medical Statistics, University Göttingen
[09/2018 - 05/2019] Post-Doc, Section of Biostatistics, University of Kopenhagen
[02/2015 - 08/2018] Research associate with teaching and research activity, Institute of Statistics, Ulm University
[09/2015] Research visit at the University of Texas at Dallas
[10/2012 - 09/2014] Studies of Mathematical Biometry at the Ulm University,
Degree: Master of Science (M.Sc.)

Exam Thesis

  1. PhD (Dr. rer. nat.) at Ulm University (magna cum laude)
    Dissertation title: ‘Permutation- and resampling-based inference for semi- and nonparametric effects in dependent data’
  2. Master’s Thesis: ’Estimation of pregnancy outcome probabilities in the presence of heavy left-truncation’
  3. Bachelor’s Thesis: ’Dataspectroscopy: Eigenspaces of convolution operators and clustering’

Publications

  1. Knoll, A, Pala, A, Pedro, M-T, Bäzner, U, König, R, Wirtz, C, Friedrich, S, Pauly, M and Antoniadis, G (2019). Clinical outcome after decompression of intraneural peroneal ganglion cyst and its morphologic correlation to postoperative nerve ultrasound. Journal of Neurosurgery, 1, 1–7, doi: 10.3171/2019.3.JNS182699.
  2. Meaidi, A, Friedrich, S, Gerds, TA and Lidegaard, O (2019). Risk factors for surgical intervention of early medical abortion. American Journal of Obstetrics and Gynecology, 220(5), 478.e1-478.e15, doi: 10.1016/j.ajog.2019.02.014.
  3. Ditzhaus, M and Friedrich, S (2018). More powerful logrank permutation tests for two-sample survival data. arXiv-Preprint arXiv:1807.05504. Submitted to Journal of Statistical Computation and Simulation.
  4. Friedrich, S, Konietschke, F and Pauly, M (2018). Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM. arXiv-Preprint arXiv:1801.08002.
  5. MANOVA in meaningful effects. Annals of the Institute of Statistical Mathematics, doi: 10.1007/s10463-019-00717-3.
  6. Bathke, A, Friedrich, S, Konietschke, F, Pauly, M, Staffen, W, Strobl, N and Höller, Y (2018). Testing Mean Differences among Groups: Multivariate and Repeated Measures Analysis with Minimal Assumptions. Multivariate Behavioral Research, 53(3), 348–359.
  7. Friedrich, S and Pauly, M (2018). MATS: Inference for potentially Singular and Heteroscedastic MANOVA. Journal of Multivariate Analysis, 165, 166–179
  8. Friedrich, S, Konietschke, F and Pauly, M (2017). A Wild Bootstrap Approach for Nonparametric Repeated Measurements. Computational Statistics and Data Analysis, 113, 38–52
  9. Friedrich, S, Konietschke, F and Pauly, M (2017). GFD: An R-package for the Analysis of General Factorial Designs. Journal of Statistical Software, 79(1), 1–18.
  10. Friedrich, S, Brunner, E and Pauly, M (2017). Permuting Longitudinal Data In Spite Of The Dependencies. Journal of Multivariate Analysis, 153, 255–265
  11. Friedrich, S, Beyersmann, J, Winterfeld, U, Schumacher, M and Allignol, A (2017). Nonparametric Estimation of Pregnancy Outcome Probabilities. Annals of Applied Statistics, 11(2), 840–867, doi: 10.1214/17-AOAS1020.

R-Packages

  1. GFD: Tests for General Factorial Designs
  2. rankFD: Rank-Based Tests for General Factorial Designs
  3. MANOVA.RM: Analysis of Multivariate Data and Repeated Measures Designs
  4. rankMANOVA: Rank-Based Tests for Multivariate Data in Nonparametric Factorial Designs
  5. mdir.logrank: Multiple-direction logrank test