Individualizing drug dosage by using a random intercept linear model

Francisco J. Diaz, Tulia E. Rivera, Richard C. Josiassen, Jose de Leon

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


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.

Original languageEnglish
Pages (from-to)2052-2073
Number of pages22
JournalStatistics in Medicine
Issue number9
StatePublished - Apr 30 2007


  • Clozapine
  • Decision theory
  • Drug dosage individualization
  • Mixed models
  • Steady-state drug plasma concentration
  • Therapeutic window

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability


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