Author: J. K. Lindsey
Edition: 2
Publisher: Oxford University Press, USA
Binding: Hardcover
ISBN: 0198505590
Models for Repeated Measurements (Oxford Statistical Science Series)
Models for Repeated Measurements will interest research statisticians in agriculture, medicine, economics, and psychology, as well as the many consulting statisticians who want an up-to-date expository account of this important topic. Medical books Models for Repeated Measurements . This edition of this successful book has been completely updated to take into account the many developments in the area over the last few years. It features three new chapters on models for continuous non-normal data, on various design issues specific to repeated measurements, and on missing data and dropouts. Exercises have been added at the ends of most chapters, and the software for carrying out the analyses is now available to the public. The book begins with a development of the general context of repeated measurements Medical books Regression Methods In Biostatistics: Linear Logistic Survival And Repeated Measures Models Statistics For Biology And Health. Springer. Hardcover. 0387202757 Hardcover; 2007 Springer; 344 pages; "Regression Methods in Biostatistics: Linear Logistic Survival and Repeated Measures Models Statistics for Biology and Health" by Eric Vittinghoff et al. . Very Good.
Download link for Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models
Springer. Hardcover. 0387202757 Hardcover; 2007 Springer; 344 pages; "Regression Methods in Biostatistics: Linear Logistic Survival and Repeated Measures Models Statistics for Biology and Health" by Eric Vittinghoff et al. . Very Good.
Models for Repeated Measurements - James K. Lindsey - Hardcover, ISBN-13: 9780198522997, ISBN-10: 0198522991
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 model 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, immu
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, immunoassa
Medical Book Models for Repeated Measurements
This edition of this successful book has been completely updated to take into account the many developments in the area over the last few years. It features three new chapters on models for continuous non-normal data, on various design issues specific to repeated measurements, and on missing data and dropouts. Exercises have been added at the ends of most chapters, and the software for carrying out the analyses is now available to the public. The book begins with a development of the general context of repeated measurements. It then describes the three basic types of response variables--continuous (normal), categorical, and count data--and develops a practical framework for creating suitable models and for applying ideas on multivariate distributions and stochastic processes. The book then devotes three sections to examining a large number of concrete examples, including data tables, to illustrate the models available. The book also includes an extensive list of references.
