Kirsten Schorning

Dr. Kirsten Schorning

Topicbild

Ruhr-Universität Bochum
Fakultät für Mathematik
Lehrstuhl für Stochastik
Wasserstrasse 223, Raum 1.25
44780 Bochum
Deutschland

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

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



Sprechstunde:

nach Vereinbarung

Arbeitsgebiete:

Versuchsplanung

Publikationen:

Veröffentlicht:

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.

Eingereicht:

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)