Dr. Thomas Asendorf

Head of servicegroup Biometry, Data Management and Informatics in Clinical Trials

telephone: +49 (0)551-39-63026

e-mail address: thomas.Asendorf(at)med.uni-goettingen.de

location: Von-Siebold-Straße 3, ground floor, 0.C.126

[Translate to Englisch:] Porträt von Dr. Thomas Asendorf, Institut für Medizinische Statistik

Short biography


Doctoral degree, Georg-August-University Göttingen, University Medical Center Göttingen

[Since 04/2018]

Head of the group "Biometry, Data Management & Informatics in Clinical Trials", Department of Medical Statistics

[01/2018 - 03/2018]

Research Assistant for the Project: “KMU-innovativ-13: Validierung eines cfDNA-basierten diagnostischen Tests zur frühzeitigen Erkennung von Transplantatschädigungen bei Nierentransplantationen”, Department of Medical Statistics

[09/2013 - 12/2017]

Research Assistant for the DFG Projekt: “Blinded sample size reestimation in clinical trials with recurrent event data and time-dependent event rates”, Department of Medical Statistics

[04/2013 - 09/2013]

Research Assistant for the DFG Projekt: “Simultaneous Confidence Intervals for non-parametric Effects in Factorial Models”, Department of Medical Statistics

[10/2008 - 09/2013]

Study in Mathematics at the Georg-August-Universiy Göttingen, Degree: Master of Science (M.Sc.) with focus on mathematische stochastics

[10/2010 - 03/2013]

Student aide for the courses Basic Stochastics, Applied Statistics, Measure- and Probability theorie, Discrete Stochastics at the Georg-August-University Göttingen

    Exam theses

    Dissertation (Georg-August-Universität Göttingen, University Medical Center 2021):

    Blinded Sample Size Re-estimation for Longitudinal Overdispersed Count Data in Randomized Clinical Trials with an Application in Multiple Sclerosis

    Master of Science (Georg-August-Universität Göttingen, 2013):

    Adjusting for Covariates in Non-Parametric Simultaneous Inference. 

    Bachelor of Science (Georg-August-Universität Göttingen, 2011):

    Global Tests for structured high dimensional Repeated Measures in a two-factorial Model under the Assumption of equal Covariance Matrices and multivariate Normal Distribution.


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