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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

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

•    Lineare Modelle und ihre mathematischen Grundlagen
•    Ereigniszeitanalyse

•    Klinische Studien

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

•    Moderne Multivariate Verfahren mit R

•    Ereigniszeitanalysen
•    Multivariate Verfahren
•    Computationale Statistik

•    Deutsche Statistische Gesellschaft
•    Internationale Biometrische Gesellschaft

Publikationen

1. 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.



2. 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.



3. 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.



4. 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.



5. 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.



6. 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.



7. 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.



8. 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.



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



10. 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.



11. 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.



12. 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.



13. 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.



14. 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.



15. 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.



16. 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.



17. 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.



18. 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.



19. 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.



20. 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.



21. 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.



22. 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.