Analysis of cross-over designs via growth curve models

Abstract

Models for repeated measures cross-over designs are defined in terms of growth curve models. In the paper two specific cross-over designs, called the AB:BA and ABAB:BABA design, are studied. The maximum likelihood estimators for the parameters are derived by utilizing the theory for growth curve models. A model with a structured dispersion matrix is defined for the AB:BA design, and a specific linear transformation is used to derive estimators in a convenient way. To illustrate numerically, maximum likelihood estimates are calculated for an ABAB:BABA study

Keywords

Cross-over desigh; growth curve models; repeated measurements; maximum likelihood estimator

Published in

Journal of Statistical Planning and Inference
2006, volume: 136, number: 2, pages: 475-497

SLU Authors

• von Rosen, Dietrich

  • Department of Energy and Technology, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Fish and Aquacultural Science
Forest Science
Environmental Sciences and Nature Conservation

Publication identifier

• DOI: https://doi.org/10.1016/j.jspi.2004.06.061

Permanent link to this page (URI)

https://res.slu.se/id/publ/7270