Analysis of cross-over designs via growth curve models

Dietrich von Rosen; Nils Åsenbladh

doi:10.1016/j.jspi.2004.06.061

Analysis of cross-over designs via growth curve models

Dietrich von Rosen
, Nils Åsenbladh

Institutionen för energi och teknik

Publikation: Bidrag till tidskrift › Artikel i vetenskaplig tidskrift › Peer review

Sammanfattning

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

Originalspråk	Engelska
Sidor (från-till)	475-497
Antal sidor	23
Tidskrift	Journal of Statistical Planning and Inference
Volym	136
Nummer	2
DOI	https://doi.org/10.1016/j.jspi.2004.06.061
Status	Publicerad - 2006

Nyckelord

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

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10.1016/j.jspi.2004.06.061

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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",

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