280 pp including index, with charts graphs and illustrations throughout, This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics. Size: 8vo - over 7�" - 9�" tall.

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Bibliographic Details

Title

NonLinear Models in Medical Statistics (Oxford Statistical Science)

Publisher

Oxford Univ Press, Great Britain

Publication Date

2001

Language

English

ISBN 10

0198508123

ISBN 13

9780198508120

Binding

Hardcover

Edition

1st.

Condition

Near Fine

Dust Jacket Condition

Not Issued

Book Type

Book

Seller catalogs

Medical

About this title

Synopsis

This text provides an introduction to the use of nonlinear models in medical statistics. It is a practical text rather than a theoretical one and assumes a basic knowledge of statistical modelling and of generalized linear models. It begins with a general introduction to nonlinear models, comparing them to generalized linear models, descriptions of data handling and formula definition and a summary of the principal types of nonlinear regression formulae. There is an emphasis on techniques for non-normal data. Following chapters provide detailed examples of applications in various areas of medicine, epidemiology, clinical trials, quality of life, pharmokinetics, pharmacodynamics, assays and formulations, and moleuclar genetics.

About the Author

J.K. Lindsey is a Professor of Biostatistics, Limburgs University, Belgium; Professor of Quantitative Methodology, University of Liege, Belgium.

"About this title" may belong to another edition of this title.

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