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.
mesh_terms: 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
chemical_list: D000970:Antineoplastic Agents; D016178:Granulocyte-Macrophage Colony-Stimulating Factor; D003520:Cyclophosphamide