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Random Effect Threshold Models for Dose–Response Relationships with Repeated Measurements
Author(s) -
Brockhoff Per M.,
Müller HansGeorg
Publication year - 1997
Publication title -
journal of the royal statistical society: series b (statistical methodology)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.523
H-Index - 137
eISSN - 1467-9868
pISSN - 1369-7412
DOI - 10.1111/1467-9868.00077
Subject(s) - inference , random effects model , linear model , threshold model , computer science , mathematics , repeated measures design , statistics , artificial intelligence , medicine , meta analysis
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.