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Nonlinear Models for Repeated Measurement Data (Chapman Hall/CRC Monographs on Statistics and Applied Probability)
Davidian, Marie
Published by Chapman and Hall/CRC, 1995
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Synopsis: Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
About the Author: Marie Davidian is an Associate Professor in the Department of Biostatistics at the Harvard School of Public Health.
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Bibliographic Details
Title: Nonlinear Models for Repeated Measurement ...
Publisher: Chapman and Hall/CRC
Publication Date: 1995
Binding: Hardcover
Condition: very good