Pharmacodynamic analysis of hematologic profiles

Gary L. Rosner; Peter Müller

doi:10.1007/BF02353792

Pharmacodynamic analysis of hematologic profiles

Gary L. Rosner, Peter Müller

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

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 language	English (US)
Pages (from-to)	499-524
Number of pages	26
Journal	Journal of Pharmacokinetics and Biopharmaceutics
Volume	22
Issue number	6
DOIs	https://doi.org/10.1007/BF02353792
State	Published - Dec 1994
Externally published	Yes

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)

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10.1007/BF02353792

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title = "Pharmacodynamic analysis of hematologic profiles",

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.",

keywords = "Bayesian methods, Gibbs sampler, Markov chain Monte Carlo, Phase I study, cancer chemotherapy, myelosuppression, nonlinear regression, repeated measures",

author = "Rosner, {Gary L.} and Peter M{\"u}ller",

year = "1994",

month = dec,

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T1 - Pharmacodynamic analysis of hematologic profiles

AU - Rosner, Gary L.

AU - Müller, Peter

PY - 1994/12

Y1 - 1994/12

N2 - 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.

AB - 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.

KW - Bayesian methods

KW - Gibbs sampler

KW - Markov chain Monte Carlo

KW - Phase I study

KW - cancer chemotherapy

KW - myelosuppression

KW - nonlinear regression

KW - repeated measures

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U2 - 10.1007/BF02353792

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M3 - Article

C2 - 7473079

AN - SCOPUS:0028674605

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EP - 524

JO - Journal of Pharmacokinetics and Biopharmaceutics

JF - Journal of Pharmacokinetics and Biopharmaceutics

IS - 6

ER -

Pharmacodynamic analysis of hematologic profiles

Abstract

Keywords

ASJC Scopus subject areas

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