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Nonlinear Models for Medical Statistics - J.K. Lindsey

Nonlinear Models for Medical Statistics

(Autor)

Buch | Hardcover
292 Seiten
2001
Oxford University Press (Verlag)
978-0-19-850812-0 (ISBN)
CHF 119,95 inkl. MwSt
This book provides an introduction to the use of nonlinear modelling in medical statistics, including worked through examples in most areas where such techniques are used. It is suitable for both professional and academic statisticians working in medical research. The data and computer code for the examples will be available on the authors web site.
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 in statistical modelling and of generalized linear models.

The book first provides a general introduction to nonlinear models, comparing them to generalized linear models. It describes data handling and formula definition and summarises 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 molecular genetics.

The book concludes with appendicies describing data handling and model formulae in more detail, and given ways of modelling dependencies in repeated measurements, and data for the exercises.

A. DATA AND MODEL EXAMPLES FROM R

Erscheint lt. Verlag 19.7.2001
Reihe/Serie Oxford Statistical Science Series ; 26
Zusatzinfo numerous tables and figures
Verlagsort Oxford
Sprache englisch
Maße 161 x 242 mm
Gewicht 556 g
Themenwelt Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Mathematik / Informatik Mathematik Statistik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
ISBN-10 0-19-850812-3 / 0198508123
ISBN-13 978-0-19-850812-0 / 9780198508120
Zustand Neuware
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