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 Medical Center 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. Friedrich S, Antes G, Behr S, Binder H, Brannath W, Dumpert F, Ickstadt K, Kestler H, Lederer J, Leitgöb H, Pauly M, Steland A, Wilhelm A, Friede T (2020) Is there a role for statistics in artificial intelligence? [Preprint]
  2. Meaidi A, Friedrich S, Lidegaard Ø (2020) Risk of surgical evacuation and risk of major surgery following second-trimester medical abortion in Denmark: A nationwide cohort study Contraception. 102: 201-206. [Full text]
  3. Friedrich, S, Friede, T (2020) Causal inference methods for small non-randomized studies: Methods and an application in COVID-19. [Preprint]
  4. Voormolen DC, Zeldovich M, Haagsma JA, Polinder S, Friedrich S, Maas AI, Wilson L, Steyerberg EW, Covic A, Andelic N, Plass AM, Wu YJ, Asendorf T, von Steinbüechel N (2020) Outcomes after Complicated and Uncomplicated Mild Traumatic Brain Injury at Three-and Six-Months Post-Injury: Results from the CENTER-TBI Study. Journal of Clinical Medicine 9: 1525. [Open Access]
  5. Ditzhaus M, Friedrich S (2020) More powerful logrank permutation tests for two-sample survival data. Journal of Statistical Computation and Simulation 90: 2209-2227. [Full text]
  6. Friedrich S, Konietschke F, Pauly M (2019) Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM. The R Journal 11: 380-400. [Open Access]
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. MANOVA in meaningful effects. Annals of the Institute of Statistical Mathematics, doi: 10.1007/s10463-019-00717-3.
  12. 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.
  13. Friedrich, S and Pauly, M (2018). MATS: Inference for potentially Singular and Heteroscedastic MANOVA. Journal of Multivariate Analysis, 165, 166–179
  14. Friedrich, S, Konietschke, F and Pauly, M (2017). A Wild Bootstrap Approach for Nonparametric Repeated Measurements. Computational Statistics and Data Analysis, 113, 38–52
  15. 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.
  16. Friedrich, S, Brunner, E and Pauly, M (2017). Permuting Longitudinal Data In Spite Of The Dependencies. Journal of Multivariate Analysis, 153, 255–265
  17. 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