Currently browsing: Items authored or edited by Stefanie Biedermann

12 items in this list.
Generated on Sun Oct 24 18:40:58 2021 BST.

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Lee, Kim May; Biedermann, Stefanie and Mitra, Robin (2019). D-optimal designs for multiarm trials with dropouts. Statistics in Medicine, 38(15) pp. 2749–2766.

2018To Top

Lee, Kim May; Mitra, Robin and Biedermann, Stefanie (2018). Optimal design when outcome values are not missing at random. Statistica Sinica, 28(4) pp. 1821–1838.

Tompsett, Daniel M.; Biedermann, Stefanie and Liu, Wei (2018). Simultaneous confidence sets for several effective doses. Biometrical Journal, 60(4) pp. 703–720.

2017To Top

Konstantinou, Maria; Biedermann, Stefanie and Kimber, Alan (2017). Model robust designs for survival trials. Computational Statistics & Data Analysis, 113 pp. 239–250.

2015To Top

Konstantinou, Maria; Biedermann, Stefanie and Kimber, Alan C. (2015). Optimal designs for full and partial likelihood information — With application to survival models. Journal of Statistical Planning and Inference, 165 pp. 27–37.

Biedermann, Stefanie and Yang, Min (2015). Designs for selected non-linear models. In: Dean, Angela; Morris, Max; Stufken, John and Bingham, Derek eds. Handbook of Design and Analysis of Experiments. Handbooks of Modern Statistical Methods. New York: Chapman and Hall/CRC, pp. 515–548.

2014To Top

2013To Top

Yang, Min; Biedermann, Stefanie and Tang, Elina (2013). On Optimal Designs for Nonlinear Models: A General and Efficient Algorithm. Journal of the American Statistical Association, 108(504) pp. 1411–1420.

2011To Top

Biedermann, Stefanie; Bissantz, Nicolai; Dette, Holger and Jones, Edmund (2011). Optimal designs for indirect regression. Inverse Problems, 27(10), article no. 105003.

Biedermann, S.; Dette, H. and Woods, D. C. (2011). Optimal design for additive partially nonlinear models. Biometrika, 98(2) pp. 449–458.

Biedermann, Stefanie and Woods, David C. (2011). Optimal designs for generalized non-linear models with application to second-harmonic generation experiments. Journal of the Royal Statistical Society: Series C (Applied Statistics), 60(2) pp. 281–299.


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