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Individualizing drug dosage by using a random intercept linear model
Author(s) -
Diaz Francisco J.,
Rivera Tulia E.,
Josiassen Richard C.,
Leon Jose de
Publication year - 2006
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.2636
Subject(s) - antipsychotic drug , drug , plasma concentration , dosage form , clozapine , trough (economics) , computation , computer science , mathematics , statistics , algorithm , schizophrenia (object oriented programming) , pharmacology , chemistry , chromatography , antipsychotic , medicine , economics , macroeconomics , programming language
An algorithm for drug dosage individualization is proposed. The algorithm assumes a random intercept linear model for the log of trough‐plasma‐concentration‐to‐dosage ratio of the drug at steady‐state, and aims at determining an optimum dosage for producing a trough steady‐state plasma concentration within a target concentration range. The minimum number of algorithm steps necessary to find the optimum dosage is computed. Computations are illustrated for clozapine, an antipsychotic drug used to treat patients with severe schizophrenia. Copyright © 2006 John Wiley & Sons, Ltd.