
English | March 20, 2026 | ISBN-10: 3032150647 | 336 pages| Epub PDF (True) | 22 MB
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.
Contents of Download:
📌 978-3-032-15065-3.epub (Hans-Michael Kaltenbach) (2026) (13.1 MB)
📌 978-3-032-15065-3.pdf (9.07 MB)
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⭐️ Statistical Design And Analysis Of Biological Experiments 2nd Edition ✅ (23.17 MB)
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