A General Equivalence Theorem for Crossover Designs under Generalized Linear Models
Methodology
2023-09-11 v2
Abstract
With the help of Generalized Estimating Equations, we identify locally D-optimal crossover designs for generalized linear models. We adopt the variance of parameters of interest as the objective function, which is minimized using constrained optimization to obtain optimal crossover designs. In this case, the traditional general equivalence theorem could not be used directly to check the optimality of obtained designs. In this manuscript, we derive a corresponding general equivalence theorem for crossover designs under generalized linear models.
Cite
@article{arxiv.2308.16816,
title = {A General Equivalence Theorem for Crossover Designs under Generalized Linear Models},
author = {Jeevan Jankar and Jie Yang and Abhyuday Mandal},
journal= {arXiv preprint arXiv:2308.16816},
year = {2023}
}