Pharmacodynamic analysis of hematologic profiles

Gary L. Rosner, Peter Müller

Research output: Contribution to journalArticlepeer-review


We discuss the analysis of the myelosuppressive effects of chemotherapy. Such analyses examine hematologic data that arise by monitoring patients after treatment with high doses of chemotherapy. We propose a flexible approach for modeling such information and, using data collected as part of a Phase I study of an anticancer agent, show some interesting aspects of the data that become available after fitting models this way.

Original languageEnglish (US)
Pages (from-to)499-524
Number of pages26
JournalJournal of Pharmacokinetics and Biopharmaceutics
Issue number6
StatePublished - Dec 1 1994
Externally publishedYes


  • Bayesian methods
  • Gibbs sampler
  • Markov chain Monte Carlo
  • Phase I study
  • cancer chemotherapy
  • myelosuppression
  • nonlinear regression
  • repeated measures

ASJC Scopus subject areas

  • Pharmacology, Toxicology and Pharmaceutics(all)
  • Pharmacology (medical)


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