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Non linear mixed effects analysis in PET PK-receptor occupancy studies

Alienor Berges1, Vincent J Cunningham, Roger N Gunn

  • 1GlaxoSmithKline, Clinical Pharmacology Modelling & Simulation, Stockley Park, UK. alienor.c.berges@gsk.com

Neuroimage
|March 23, 2013
PubMed
Summary

Non-linear mixed effects (NLME) modeling offers a more robust approach than non-linear least squares (NLLS) for pharmacokinetic-receptor occupancy (PK-RO) relationships. NLME improves estimation of between-subject variability, especially in complex scenarios without reference regions.

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