Optimal Crossover Designs for Generalized Linear Models

We identify locally D -optimal crossover designs for generalized linear models. We use generalized estimating equations to estimate the model parameters along with their variances. To capture the dependency among the observations coming from the same subject, we propose six different correlation str...

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Veröffentlicht in:	Journal of statistical theory and practice Jg. 14; H. 2
Hauptverfasser:	Jankar, Jeevan, Mandal, Abhyuday, Yang, Jie
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.06.2020
Schlagworte:	Algorithms Analysis and Advanced Methodologies in the Design of Experiments Mathematics and Statistics Original Article Probability Theory and Stochastic Processes Statistical Theory and Methods Statistics Approximate designs AR correlation structure Two-stage design optimality Generalized estimating equations Compound symmetric correlation
ISSN:	1559-8608, 1559-8616
Online-Zugang:	Volltext
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