Dr. Kirsten Schorning


Ruhr-Universität Bochum
Department of Mathematics
Institute of Statistics
Wasserstrasse 223, Room 1.25
D-44799 Bochum

Tel.: +49 (0)234 / 32 23281
Fax: +49 (0)234 / 32 14559

E-Mail: kirsten.schorning(at)rub.de

Office hours:

by appointment

Research interests:

Design of experiments


Dette, H., Kettelhake, K. Schorning, K., Wong, W.K. and Bretz, F. (2017): Optimal designs for active controlled dose finding trials with efficacy-toxicity outcomes. Biometrika 104(4), 1003-1010.

Dette, H., Schorning, K. and Konstantinou, M. (2017): Optimal designs for comparing regression models with correlated observations. Computational Statistics and Data Analysis 113, 273-286.

Feller, C., Schorning, K., Dette, H., Bermann, G., Bornkamp, B. (2017): Optimal designs for dose response curves with common parameters. Annals of Statistics 45(5), 2102-2132.

Dette, H., Hoyden, L., Kuhnt, S. and Schorning, K. (2017): Optimal designs for thermal spraying. Journal of the Royal Statistical Society, Ser. C, 66(1), 53-72.

Schorning, S., Bornkamp, B., Bretz, F. and Dette, H. (2016): Model selection versus model averaging in dose finding studies. Statistics in Medicine 35, 4021-4040.

Dette, H. und Schorning, K. (2016): Optimal designs for comparing curves. Annals of Statistics 44(3), 1103-1130.

Dette, H. und Schorning, K. (2013): Complete classes of designs for nonlinear regression models and principal representations of moment spaces, Annals of Statistics 41(3), 1260-1267.


Schorning, K. and Konstantinou, M. (2017). Bayesian optimal designs for dose-response curves with common parameters. (PDF)

Dette, H., Konstantinou, M., Schorning, K. and Gösmann, J. (2017). Optimal designs for regression with spherical data. (PDF)

Schorning, K., Dette, H., Kettelhake, K. and Möller, T. (2017). Optimal designs for enzyme inhibition kinetic models. (PDF)