5 papers · 1 filter
Optimal Designs for Prediction in Two Treatment Groups Random Coefficient Regression Models
Maryna Prus
The subject of this work is two treatment groups random coefficient regression models, in which observational units receive some group-specific treatments. We provide A- and D-opti…
Optimal Designs for Minimax-Criteria in Random Coefficient Regression Models
Maryna Prus
We consider minimax-optimal designs for the prediction of individual parameters in random coefficient regression models. We focus on the minimax-criterion, which minimizes the "wor…
Various Optimality Criteria for the Prediction of Individual Response Curves
Maryna Prus
We consider optimal designs for the Kiefer cirteria, which include the E-criterion as a particular case, and the G-criterion in random coefficients regression (RCR) models. We obta…
Optimal Design in Hierarchical Models with application in Multi-center Trials
Maryna Prus, Norbert Benda, Rainer Schwabe
Hierarchical random effect models are used for different purposes in clinical research and other areas. In general, the main focus is on population parameters related to the expect…
Optimal Designs in Multiple Group Random Coefficient Regression Models
Maryna Prus
The subject of this work is multiple group random coefficients regression models with several treatments and one control group. Such models are often used for studies with cluster…