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  M. Sc. Studiengang "Applied Statistics"

  deutsch englisch Eine Bewerbung für das Wintersemester ist jeweils vom 1. April bis 15. Mai eines Jahres möglich!
  

Priv.-Doz. Dr. Steffen Unkel, MSc in Statistics

Lehre

Wintersemester 2018/19

•    Lineare Modelle und ihre mathematischen Grundlagen
•    Ereigniszeitanalyse

Sommersemester 2018

•    Klinische Studien

Weitere in der Vergangenheit abgehaltene Kurse

•    Multivariate Verfahren
•    Ausgewählte statistische Methoden in der Psychometrie (Ludwig-Maximilians-Universität München)

Münchner R Kurse

•    Moderne Multivariate Verfahren mit R

Forschungsinteressen

•    Ereigniszeitanalysen
•    Multivariate Verfahren
•    Computationale Statistik

Drittmittel

Projektleiter eines von der Deutschen Forschungsgemeinschaft (DFG) geförderten Forschungsprojektes mit dem Titel "Frailty-Modelle für die Modellierung von multivariaten Current Status Daten mit Anwendungen in der Epidemiologie" (Fördervolumen: 295.600 Euro, Projektdauer: 3 Jahre).

Mitgliedschaften

•    Internationale Biometrische Gesellschaft

Kurzer Lebenslauf

06/2018	Venia Legendi für das Fachgebiet Statistik an der Medizinischen Fakultät, Georg-August-Universität Göttingen
01/2017	Habilitation im Fachgebiet Statistik an der Fakultät für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität München
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., Amiri M., Benda N., Beyersmann J., Knoerzer D., Kupas K., Langer F., Leverkus F., Loos A., Ose C., Proctor T., Schmoor C., Schwenke C., Skipka G., Unnebrink K., Voss F. and Friede T. (2018): On estimands and the analysis of adverse events in the presence of varying follow-up times within the benefit assessment of therapies, Pharmaceutical Statistics, in press.



2. Friede T., Posch M., Zohar S., Alberti C., Benda N., Comets E., Day S., Dmitrienko A., Graf A., Günhan B. K., Wan Hee S., Lentz F., Madan J., Miller F., Ondra T., Pearce M., Röver C., Toumazi A., Unkel S., Ursino M., Wassmer G. and Stallard N. (2018): Recent advances in methodology for clinical trials in small populations: the InSPiRe project, Orphanet Journal of Rare Diseases, in press.



3. Krombach J., Hennel R., Brix N., Orth M., Schoetz U., Ernst A., Schuster J., Zuchtriegel G., Reichel C. A., Bierschenk S., Sperandio M., Vogl T., Unkel S., Belka C. and Lauber K. (2018): Priming anti-tumor immunity by radiotherapy: Dying tumor cell-derived DAMPs trigger endothelial cell activation and recruitment of myeloid cells, OncoImmunology, in press.



4. Djukic M., Braun L. M., Unkel S., Jacobshagen C. and Nau R. (2018): Introduction of non-vitamin K antagonist anticoagulants strongly increased the rate of anticoagulation in geriatric patients, Drugs & Aging, Vol. 35, pp. 859-869.



5. Unkel S. (2017): On the shape of the cross-ratio function in bivariate survival models induced by truncated and folded normal frailty distributions, Metrika, Vol. 80, pp. 351-362.



6. Unkel S. (2017): 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, Vol. 182, pp. 1-11.



7. 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.



8. 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.



9. 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.



10. Kiessling J., Leifholz M., Unkel S., Pons-Kühnemann J., Thunberg C. and 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.



11. Unkel S., Farrington C. P., Whitaker H. J. and 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.



12. Farrington C. P., Unkel S. and 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.



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



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



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



16. 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.



17. Unkel S., Farrington C. P., Garthwaite P. H., Robertson C. and 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.



18. Farrington C. P., Unkel S. and 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.



19. 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.



20. 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.



21. 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.



22. 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.



23. 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.



24. 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.



25. 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.



26. 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.