Random Effect Threshold Models for Dose-Response Relationships with Repeated Measurements

A random threshold model for dose-response designs with repeated measurements is introduced. Inference procedures for this model are discussed. The framework of generalized linear models is used to propose a quasi-likelihood inference procedure. The feasibility of this approach is illustrated with t...

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Veröffentlicht in:	Journal of the Royal Statistical Society. Series B, Methodological Methodological, 1997, Vol.59 (2), p.431-446
Hauptverfasser:	Brockhoff, Per M., Müller, Hans-Georg
Format:	Artikel
Sprache:	eng
Schlagworte:	Acetates Applications binomial regression Biology, psychology, social sciences Covariance Dose response relationship Estimation methods Exact sciences and technology forced choice experiment Generalized linear model Inference Insurance, economics, finance iterated weighted least squares likelihood Linear inference, regression Linear models Mathematics Maximum likelihood estimation Measurement Medical sciences Modeling Multilevel models overdispersion Probability and statistics quasi-likelihood Regression analysis Reliability, life testing, quality control Sciences and techniques of general use sensory experiment Statistical variance Statistics variance component
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Zusammenfassung:	A random threshold model for dose-response designs with repeated measurements is introduced. Inference procedures for this model are discussed. The framework of generalized linear models is used to propose a quasi-likelihood inference procedure. The feasibility of this approach is illustrated with the analysis of food science data concerning a forced choice sensory experiment.
ISSN:	1369-7412 0035-9246 1467-9868
DOI:	10.1111/1467-9868.00077