Department of Medical Statistics, University Goettingen

Thomas Asendorf


Head of the Working Group Biostatistics & Data Management
Phone:
0551-39-63026
E-Mail:
thomas.asendorf@med.uni-goettingen.de
Ort:
von-Siebold-Straße 3, Ground Floor, 0.C.128
Fields of Research

Statistics in medicine, sample size estimation, adaptive trials, non-parametric statistics.

Short Biographie

[Since
04/2018]
Head of the working group Biostatistics & Data Management, Institut für Medizinische Statistik.
[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“, Institut für Medizinische Statistik.
[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“, Institut of Medical Statistics.
[04/2013 -
09/2013]
Research Assistant for the DFG Projekt: „Simultaneous Confidence Intervals for non-parametric Effects in Factorial Models“, Institut 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 Thesis

  1. Master of Science (Georg-August-Universität Göttingen, 2013): Adjusting for Covariates in Non-Parametric Simultaneous Inference.
  2. 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.

Publications

  1. Klemm P, Hudowenz O, Asendorf T et al., (2019) Multimodale rheumatologische Komplexbehandlung bei rheumatoider Arthritis - eine monozentrische Retrospektivanalyse Z Rheumatol
  2. Asendorf T, Henderson R, Schmidli H, Friede T, (2018) Sample size re-estimation for clinical trials with longitudinal negative binomial counts including time trends Stat Med, 0(0):1-26
  3. Nörthen A, Asendorf T, Shin HO, Hinrichs JB, Werncke T, Vogel A, Kirstein M, Wacker F, Rodt T (2018) Parametric response mapping cut-off values that predict survival of hepatocellular carcinoma patients after TACE. Abdom Radiol, 43(12):3288-3300.
  4. Nörthen A, Asendorf T, Walson PD and Oellerich M, (2018) Diagnostic value of alpha-1-fetoprotein (AFP) as a biomarker for hepatocellular carcinoma recurrence after liver transplantation. Clin Biochem, 52:20-25.
  5. Asendorf T, Henderson R, Schmidli H and Friede T, (2017) Modelling and sample size reestimation for longitudinal count data with incomplete follow up. Stat Methods Med Res, 28(1):117-133.
  6. Pauly M, Asendorf T and Konietschke F, (2016) Permutation-based inference for the AUC: A unified approach for continuous and discontinuous data. Biom J, 58(6):1319-1337.

Talks and Presentations

  1. Adaptive Designs Workshop 2018, Bremen: Blinded Sample Size Reestimation for Time Dependent Negative Binomial Counts: An example in MS and considerations of small samples.
  2. Adaptive Designs Workshop 2017, Cambridge: Blinded Sample Size Reestimationfor Time Dependent Negative Binomial Counts with Time Trends.
  3. Symposium on Blinded Sample Size Reestimation in Clinical Trials 2016, Göttingen: Blinded sample size reestimation for longitudinal count data,
  4. DagStat 2016, Göttingen: Blinded Sample Size Reestimation for Time Dependent Negative Binomial Counts.
  5. Adaptive Designs Workshop 2016, Padua: Blinded Sample Size Reestimation for Time Dependent Negative Binomial Counts with Incomplete Follow-up.
  6. Symposium on Blinded Sample Size Reestimation in Clinical Trials 2015, Göttingen: Sample Size Reestimation for Longitudinal Count Data.
  7. Biometrisches Kolloquium 2015, Dortmund: Blinded Sample Size Reestimation fo rTime Dependent Negative Binomial Observations.
  8. Adaptive Designs Workshop 2015, Köln: Blinded Sample Size Reestimation for Time Dependent Negative Binomial Observations.
  9. Sample Size Reestimation Workshop 2014, Göttingen: Longitudinal count data with negative binomial marginal distribution.
  10. Biometrisches Kolloquium 2014, Bremen: Non-Parametric Multiple Contrast Tests with Covariates.
  11. Adaptive Designs Workshop 2014, Basel: Sample Size Re-estimation for Poisson Counts in Randomized Controlled Clinical Trials.
  12. KSFE 2014, Göttingen: Non-Parametric Multiple Contrast Tests with Covariates.
  13. Sample Size Reestimation Workshop 2013, Göttingen: Influence of a Poisson-LogNormal Mixture Distribution on Sample Size Reestimation in Clinical Trials with Count Data.
  14. DAGStat 2013, Freiburg: Permutation based Confidence Intervals for the Area under the ROC Curve.
  15. ICSI 2013, Hannover: Non-Parametric Multiple Contrast Tests with Covariates.