Nonlinear Models for Repeated Measurement Data (Monographs on Statistics & Applied Probability, Band 62) - Hardcover

Buch 77 von 110: ISSN

Davidian, Marie; Giltiman, David M.

 
9780412983412: Nonlinear Models for Repeated Measurement Data (Monographs on Statistics & Applied Probability, Band 62)

Inhaltsangabe

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.

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Über die Autorinnen und Autoren

Davidian, Marie

Marie Davidian is an Associate Professor in the Department of Biostatistics at the Harvard School of Public Health.

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