| Optimal designs for the prediction of individual parameters in hierarchical models M Prus, R Schwabe Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2016 | 36 | 2016 |
| Computing optimal experimental designs with respect to a compound Bayes risk criterion R Harman, M Prus Statistics & Probability Letters 137, 135-141, 2018 | 21 | 2018 |
| Various optimality criteria for the prediction of individual response curves M Prus Statistics & Probability Letters 146, 36-41, 2019 | 10 | 2019 |
| Optimal designs for the prediction in hierarchical random coefficient regression models M Prus Magdeburg, Universität, Diss., 2015, 2015 | 9 | 2015 |
| Interpolation and extrapolation in random coefficient regression models: optimal design for prediction M Prus, R Schwabe mODa 11-Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2016 | 8 | 2016 |
| Optimal designs in multiple group random coefficient regression models M Prus Test 29 (1), 233-254, 2020 | 7 | 2020 |
| Optimal designs for minimax-criteria in random coefficient regression models M Prus Statistical Papers 60 (2), 465-478, 2019 | 7 | 2019 |
| Optimal designs for the prediction of individual effects in random coefficient regression M Prus, R Schwabe mODa 10–Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2013 | 7 | 2013 |
| Optimal designs for individual prediction in random coefficient regression models M Prus, R Schwabe Optimal Design of Experiments-Theory and Application: Proceedings of the …, 2011 | 5 | 2011 |
| Optimizing the allocation of trials to sub-regions in multi-environment crop variety testing M Prus, HP Piepho Journal of Agricultural, Biological and Environmental Statistics 26 (2), 267-288, 2021 | 4 | 2021 |
| Discussion of ‘methods for planning repeated measures accelerated degradation tests’ by Brian P. Weaver and William Q. Meeker R Schwabe, M Prus, U Graßhoff Applied Stochastic Models in Business and Industry 30 (6), 677-679, 2014 | 4 | 2014 |
| Equivalence theorems for multiple-design problems with application in mixed models M Prus Journal of Statistical Planning and Inference 217, 153-164, 2022 | 3 | 2022 |
| Optimal design in hierarchical random effect models for individual prediction with application in precision medicine M Prus, N Benda, R Schwabe Journal of Statistical Theory and Practice 14, 1-12, 2020 | 2 | 2020 |
| Computational aspects of experimental designs in multiple-group mixed models M Prus, L Filová Statistical Papers, 1-22, 2023 | 1 | 2023 |
| Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models M Prus International Conference on Risk Analysis, 147-159, 2019 | 1 | 2019 |
| Optimal designs for prediction of random effects in two-groups models with multivariate response M Prus Journal of Multivariate Analysis 198, 105212, 2023 | | 2023 |
| Optimal designs for prediction in random coefficient regression with one observation per individual M Prus Statistical Papers 64 (4), 1057-1068, 2023 | | 2023 |
| Optimal experimental designs in multiple-group mixed models M Prus Habilitationsschrift, Magdeburg, Otto-von-Guericke-Universität Magdeburg, 2023, 2023 | | 2023 |
| Correction to: Optimal Design in Hierarchical Random Effect Models for Individual Prediction with Application in Precision Medicine M Prus, N Benda, R Schwabe Journal of Statistical Theory and Practice 15, 1-2, 2021 | | 2021 |
| Equivalence theorems for compound design problems with application in mixed models M Prus arXiv preprint arXiv:2007.14971, 2020 | | 2020 |
