𝔖 Bobbio Scriptorium
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Autoregressive models for describing non-linear changes in biological parameters fitted using BUGS

✍ Scribed by A. P. Mander; M. D. Hughes; S. J. Sharp; C. J. Lamm


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
183 KB
Volume
18
Category
Article
ISSN
0277-6715

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✦ Synopsis


Many biological processes give outcome data which show a curvilinear association with time which tends to an asymptote. We show how autoregressive models can be used to describe this association within individual subjects. We also present a Bayesian approach implemented using statistical software, BUGS, to "t these models in a multi-level (hierarchical) setting that describes variation in the association between subjects. Peak expiratory #ow data from a clinical trial involving subjects with asthma are used to illustrate the methods.