| 书目名称 | Statistical Design and Analysis of Biological Experiments |
| 编辑 | Hans-Michael Kaltenbach |
| 视频video | |
| 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 |
| 丛书名称 | Statistics for Biology and Health |
| 图书封面 |  |
| 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 |
| 关键词 | Experimental design; ANOVA; linear mixed model; completely randomized design; sample size; design for imp |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-69641-2 |
| isbn_softcover | 978-3-030-69643-6 |
| isbn_ebook | 978-3-030-69641-2Series ISSN 1431-8776 Series E-ISSN 2197-5671 |
| issn_series | 1431-8776 |
| copyright | Springer Nature Switzerland AG 2021 |
发表于 2025-3-21 19:13:00
