Random Effect Threshold Models for Dose–Response Relationships with Repeated Measurements | Zendy

Brockhoff Per M. | Zendy; Müller HansGeorg | Zendy

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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.

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