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Titlebook: Statistical Design and Analysis of Biological Experiments; Hans-Michael Kaltenbach Textbook 2021 Springer Nature Switzerland AG 2021 Exper

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書目名稱Statistical Design and Analysis of Biological Experiments
編輯Hans-Michael Kaltenbach
視頻videohttp://file.papertrans.cn/877/876403/876403.mp4
概述Presents a thorough overview of the design and analysis of experiments.Discusses and applies effect size measures and their estimation.Provides datasets and R code, allowing the reader to reproduce th
叢書名稱Statistics for Biology and Health
圖書封面Titlebook: Statistical Design and Analysis of Biological Experiments;  Hans-Michael Kaltenbach Textbook 2021 Springer Nature Switzerland AG 2021 Exper
描述.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 s
出版日期Textbook 2021
關(guān)鍵詞Experimental design; ANOVA; linear mixed model; completely randomized design; sample size; design for imp
版次1
doihttps://doi.org/10.1007/978-3-030-69641-2
isbn_softcover978-3-030-69643-6
isbn_ebook978-3-030-69641-2Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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Split-Unit Designs,ds to different precision of estimates and power of tests, but can have advantages when some treatments are more easily changed than others. We discuss the basic split-unit design in detail and introduce several related designs, such as a split-unit blocked on the whole-unit level, simple cross-over designs, and pretest-posttest designs.
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Statistical Design and Analysis of Biological Experiments978-3-030-69641-2Series ISSN 1431-8776 Series E-ISSN 2197-5671
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