Optimal Designs in Multiple Group Random Coefficient Regression Models
Statistics Theory
2018-07-27 v1 Statistics Theory
Abstract
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 randomized trials. We investigate A-, D- and E-optimal designs for estimation and prediction of fixed and random treatment effects, respectively, and illustrate the obtained results by numerical examples.
Cite
@article{arxiv.1807.10042,
title = {Optimal Designs in Multiple Group Random Coefficient Regression Models},
author = {Maryna Prus},
journal= {arXiv preprint arXiv:1807.10042},
year = {2018}
}