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Statistical Design and Analysis of Biological Experiments (Hardcover, 1st ed. 2021) Loot Price: R3,296
Discovery Miles 32 960
Statistical Design and Analysis of Biological Experiments (Hardcover, 1st ed. 2021): Hans-Michael Kaltenbach

Statistical Design and Analysis of Biological Experiments (Hardcover, 1st ed. 2021)

Hans-Michael Kaltenbach

Series: Statistics for Biology and Health

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Loot Price R3,296 Discovery Miles 32 960 | Repayment Terms: R309 pm x 12*

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This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields. The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including 'portable power' formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice. Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Statistics for Biology and Health
Release date: April 2021
First published: 2021
Authors: Hans-Michael Kaltenbach
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 269
Edition: 1st ed. 2021
ISBN-13: 978-3-03-069640-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Biology, life sciences > Molecular biology
LSN: 3-03-069640-5
Barcode: 9783030696405

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