Pharmacodynamic analysis of hematologic profiles

Gary L. Rosner, Peter Müller

Research output: Contribution to journalArticlepeer-review

Abstract

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
Volume22
Issue number6
DOIs
StatePublished - Dec 1 1994
Externally publishedYes

Keywords

  • 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)

Fingerprint Dive into the research topics of 'Pharmacodynamic analysis of hematologic profiles'. Together they form a unique fingerprint.

Cite this