Pharmacodynamic analysis of hematologic profiles.
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.
D000970:Antineoplastic Agents / Q000009:adverse effects*; D001499:Bayes Theorem; D001772:Blood Cell Count; D003520:Cyclophosphamide / Q000009:adverse effects; D016178:Granulocyte-Macrophage Colony-Stimulating Factor / Q000378:metabolism; D006801:Humans; D007958:Leukocyte Count; D008390:Markov Chains
D000970:Antineoplastic Agents; D016178:Granulocyte-Macrophage Colony-Stimulating Factor; D003520:Cyclophosphamide