Institut für Medizinische Statistik - UMG

Dr. Steffen Unkel


Wissenschaftlicher Mitarbeiter - AG Klinische Studien
Telefon:
0551-39-4956
Telefax:
0551-39-4995
E-Mail:
Steffen.Unkel@med.uni-goettingen.de
Ort:
Humboldtallee 32, Etage 1, 132

Lehre

Wintersemester 2016/17 Sommersemester 2016 Münchner R Kurse
Forschungsinteressen


Mitgliedschaften


Kurzer Lebenslauf

seit 07/2014 Wissenschaftlicher Mitarbeiter, Institut für Medizinische Statistik,
Universitätsmedizin, Georg-August-Universität Göttingen
10/2013 - 02/2014 Vertretung der W2-Professur für Biostatistik, Institut für Statistik,
Ludwig-Maximilians-Universität München
04/2013 - 09/2013 Vertretung der W2-Professur für Computationale Statistik, Institut für Statistik,
Ludwig-Maximilians-Universität München
04/2012 - 06/2014 Wissenschaftlicher Mitarbeiter, Institut für Medizinische Informatik,
Justus-Liebig-Universität Giessen
10/2009 - 03/2012 Post-Doctoral Research Fellow
Department of Mathematics and Statistics, The Open University, United Kingdom
10/2006 - 09/2009 Promotion im Fach Statistik (PhD)
Department of Mathematics and Statistics, The Open University, United Kingdom
10/2004 - 07/2005 Studium der Statistik (MSc in Statistics)
University of London - London School of Economics, United Kingdom
05/2002 - 09/2006 Wissenschaftlicher Mitarbeiter
Professur für Statistik und Ökonometrie, Universität Siegen
09/1994 - 04/2002 Studium der Wirtschaftswissenschaften (Diplom-Volkswirt und Diplom Kaufmann)
Universität Siegen

Publikationen

  1. Unkel, S. (2016): On the conditional probability for assessing time dependence of association in shared frailty models with bivariate current status data, Journal of Statistical Planning and Inference, in press.


  2. Unkel, S., Röver, C., Stallard, N., Benda, N., Posch, M., Zohar, S. and Friede, T. (2016): Systematic reviews in paediatric multiple sclerosis and Creutzfeldt-Jakob disease exemplify shortcomings in methods used to evaluate therapies in rare conditions, Orphanet Journal of Rare Diseases, 11:16.


  3. Unkel, S., Belka, C. and Lauber, K. (2016): On the analysis of clonogenic survival data: Statistical alternatives to the linear-quadratic model, Radiation Oncology, 11:11.


  4. Ernst, A. / Kapfhammer, H. / Anders, H. / Orth, M. / Hennel, R. / Seidl, K. / Winssinger, N. / Belka,C. / Unkel, S. and Lauber, K. (2015): HSP90 inhibition as a means of radiosensitizing resistant, aggressive soft tissue sarcomas, Cancer Letters, Vol. 365, Issue 2, pp. 211-222.


  5. Kiessling, J. / Leifholz, M. / Unkel, S. / Pons-Kühnemann, J. / Thunberg, C. / Pedersen, J. N. (2015): A Comparison of Conventional and In-Situ Audiometry on Participants with Varying Levels of Sensorineural Hearing Loss, Journal of the American Academy of Audiology, Vol. 26, pp. 68-79.


  6. Unkel, S. / Farrington, C. P. / Whitaker, H. J. / Pebody, R. (2014): Time-varying frailty models and the estimation of heterogeneities in transmission of infectious diseases, Journal of the Royal Statistical Society Series C, Vol. 63, pp. 141-158.


  7. Farrington, C. P. / Unkel, S. / Anaya-Izquierdo, K. (2013): Estimation of basic reproduction numbers: individual heterogeneity and robustness to perturbation of the contact function, Biostatistics, Vol. 14, pp. 528-540.


  8. Unkel, S. and Trendafilov, N. T. (2013): Zig-zag exploratory factor analysis with more variables than observations. Computational Statistics, Vol. 28, pp. 107-125


  9. Trendafilov, N. T. / Unkel, S. / Krzanowski, W. J. (2013): Exploratory factor and principal component analyses: some new aspects. Statistics and Computing, Vol. 23, pp. 209-220.


  10. Farrington, C. P. / Whitaker, H. J. / Unkel, S. / Pebody, R. (2013): Correlated infections: quantifying individual heterogeneity in the spread of infectious diseases. American Journal of Epidemiology, Vol. 177, pp. 474-486.


  11. Unkel, S. and Farrington, C. P. (2012): A new measure of time-varying association for shared frailty models with bivariate current status data. Biostatistics, Vol. 13, pp. 665-679.


  12. Unkel, S. / Farrington, C. P. / Garthwaite, P. H. / Robertson, C. / Andrews, N. (2012): Statistical methods for the detection of infectious disease outbreaks: a review. Journal of the Royal Statistical Society Series A, Vol. 175, pp. 49-82.


  13. Farrington, C. P. / Unkel, S. / Anaya-Izquierdo, K. (2012): The relative frailty variance and shared frailty models. Journal of the Royal Statistical Society Series B, Vol. 74, pp. 673-696.


  14. Trendafilov, N. T. and Unkel, S. (2011): Exploratory factor analysis of data matrices with more variables than observations. Journal of Computational and Graphical Statistics, Vol. 20, pp. 874-891.


  15. Unkel, S. / Hannachi, A. / Trendafilov, N. T. / Jolliffe, I. T. (2011): Independent component analysis of three-way data with an application to atmospheric science. Journal of Agricultural, Biological, and Environmental Statistics, Vol. 16, pp. 319-338.


  16. Unkel, S. and Trendafilov, N. T. (2010): Simultaneous parameter estimation in exploratory factor analysis: An expository review. International Statistical Review, Vol. 78, pp. 363-382.


  17. Unkel, S. and Trendafilov, N. T. (2010): A majorization algorithm for simultaneous parameter estimation in robust exploratory factor analysis. Computational Statistics & Data Analysis, Vol. 54, pp. 3348-3358.


  18. Unkel, S. / Trendafilov, N. T. / Hannachi, A. / Jolliffe, I. T. (2010): Independent exploratory factor analysis with application to atmospheric science data. Journal of Applied Statistics, Vol. 37, pp. 1847-1862.


  19. Hannachi, A. / Unkel, S. / Trendafilov, N. T. / Jolliffe, I. T. (2009): Independent component analysis of climate data: A new look at EOF rotation. Journal of Climate, Vol. 22, No. 11, pp. 2797-2812.


  20. Unkel, S. and Trendafilov, N. T. (2009): Factor analysis as data matrix decomposition: A new approach for quasi-sphering in noisy ICA. In: Adali, T. et al. (Eds.): Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009), Lecture Notes in Computer Science 5441, Springer: Berlin, Heidelberg, pp. 163-170.


  21. Unkel, S. and Trendafilov, N. T. (2007): Noisy Independent Component Analysis as a Method of Rotating the Factor Scores. In: Davies, M. E. et al. (Eds.): Proceedings of the 7th International Conference on Independent Component Analysis and Signal Separation (ICA 2007), Lecture Notes in Computer Science 4666, Springer: Berlin, Heidelberg, pp. 810-817.