ISBN: 9781107030787 - the design and statistical analysis of animal experiments (7 Ergebnisse)

Hardcover. Zustand: Like New. First Edition. A firm and square hardback with sharp corners and strong joints, just showing a few very minor cosmetic rubs. Hence a non-text page has a small 'damaged' stamp. Despite such this book is actually in nearly new condition and appears unread. Thus the contents are crisp, fresh and tight; no pen-marks. Now offered for sale at a very sensible price.…

Zustand: New.

Zustand: New. This book will provide scientists with a better understanding of statistics, improving their decision-making and reducing animal use. Num Pages: 324 pages, 227 b/w illus. 87 tables. BIC Classification: PDE; PDN; PSV. Category: (U) Tertiary Education (US: College). Dimension: 246 x 189 x 20. Weight in Grams: 880. . 2014. 1st Edition. hardcover. . . . .…

Zustand: New. In English.

Zustand: New. This book will provide scientists with a better understanding of statistics, improving their decision-making and reducing animal use. Num Pages: 324 pages, 227 b/w illus. 87 tables. BIC Classification: PDE; PDN; PSV. Category: (U) Tertiary Education (US: College). Dimension: 246 x 189 x 20. Weight in Grams: 880. . 2014. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. 1st edition. 310 pages. 9.75x7.50x0.75 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Written for animal researchers, this book provides a comprehensive guide to the design and statistical analysis of animal experiments. It has long been recognised that the proper implementation of these techniques helps reduce the number of animals needed. By using real-life examples to make them more accessible, this book explains the statistical tools employed by practitioners. A wide range of design types are considered, including block, factorial, nested, cross-over, dose-escalation and repeated measures and techniques are introduced to analyse the experimental data generated. Each analysis technique is described in non-mathematical terms, helping readers without a statistical background to understand key techniques such as t-tests, ANOVA, repeated measures, analysis of covariance, multiple comparison tests, non-parametric and survival analysis. This is also the first text to describe technical aspects of InVivoStat, a powerful open-source software package developed by the authors to enable animal researchers to analyse their data and obtain informative results.…