یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and index
یادداشتهای مربوط به مندرجات
متن يادداشت
Chapter 11 Modeling Kidney and Liver Cytotoxicity -- Kai H. Liao, Yu-Mei Tan, Harvey J. Clewell III, and Melvin E. Andersen -- Section4: Modeling tissue and organism responses -- Chapter 12 Computational Model for Iodide Economy and the HPT Axis in the Adult Rat -- Jeffrey W. Fisher and Eva D. McLanahan -- Chapter 13 Two Stage Clonal Growth Modeling of Cancer -- Rory B. Conolly and Melvin E. Andersen -- Chapter 14 Statistical and Physiological Modeling of the Toxicity of Chemicals in Mixtures -- Hisham A. El-Masri, Michael A. Lyons, and Raymond S.H. Yang -- Chapter 15 (Q)SAR Models of Adverse Responses: Acute Systemic Toxicity -- Mark T.D. Cronin, Yana K. Koleva, and Judith C. Madden -- Section5: Model application and evaluation -- Chapter 16 Modeling Exposures to Chemicals from Multiple Sources and Routes -- Panos G. Georgopoulos, Sastry S. Isukapalli, and Kannan Krishnan -- Chapter 17 Probabilistic Reverse Dosimetry Modeling for Interpreting Biomonitoring Data -- Yu-Mei Tan and Harvey J. Clewell III -- Chapter 18 Quantitative Modeling in Noncancer Risk Assessment -- Q. Jay Zhao, Lynne Haber, Melissa Kohrman., Patricia Nance, and Michael Dourson -- Chapter 19 Application of Physiologically Based Pharmacokinetic Modeling in Risk Assessment -- Harvey J. Clewell III -- Chapter 20 Uncertainty, Variability and Sensitivity Analyses in Simulation Models -- Sastry S. Isukapalli, Martin Spendiff, Panos G. Georgopoulos and Kannan Krishnan -- Chapter 21 Evaluation of Quantitative Models in Toxicology: Progress and challenges -- Kannan Krishnan and Melvin E. Andersen
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
"In Quantitative Modeling in Toxicology leading experts outline the current state of knowledge on the modeling of dose, tissue interactions and tissue responses. Each chapter describes the mathematical foundation, parameter estimation, challenges and perspectives for development, along with the presentation of a modeling template. Additionally, tools and approaches for conducting uncertainty, sensitivity and variability analyses in these models are described"--Provided by publisher