Optimal designs in multiple group random coefficient regression models

• Maryna Prus ^[1]
  1. [1] Otto-von-Guericke University Magdeburg

     Otto-von-Guericke University Magdeburg

     Landeshauptstadt Magdeburg, Alemania

     
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 29, Nº. 1, 2020, págs. 233-254
• Idioma: inglés
• DOI: 10.1007/s11749-019-00654-6
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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.