Statistical design and analysis of biological experiments
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 pre...
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| Format: | Buch |
| Sprache: | English |
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Cham, Switzerland
Springer
[2021]
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| Schriftenreihe: | Statistics for biology and health
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| 020 | |a 9783030696405 |c hbk |9 978-3-030-69640-5 | ||
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| 100 | 1 | |a Kaltenbach, Hans-Michael |e Verfasser |0 (DE-588)1017565147 |4 aut | |
| 245 | 1 | 0 | |a Statistical design and analysis of biological experiments |c Hans-Michael Kaltenbach |
| 264 | 1 | |a Cham, Switzerland |b Springer |c [2021] | |
| 300 | |a xiv, 269 Seiten |b Illustrationen, Diagramme |c 583 grams | ||
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| 490 | 0 | |a Statistics for biology and health | |
| 500 | |a Principles of Experimental Design.- Review of Statistical Concepts.- Planning for Precision and Power.- Comparing More than Two Groups.- Comparing Treatment Groups with Linear Contrasts.- Multiple Treatment Factors: Factorial Designs.- Improving Precision and Power: Blocked Designs.- Split-Unit Designs.- Many Treatment Factors: Fractional Factorial Designs.- Experimental Optimization with Response Surface Methods.- References.- Index. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Bioinformatics | |
| 650 | 4 | |a Statistics | |
| 650 | 0 | 7 | |a Forschungsplanung |0 (DE-588)4155051-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Biostatistik |0 (DE-588)4729990-3 |2 gnd |9 rswk-swf |
| 653 | |a Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik | ||
| 689 | 0 | 0 | |a Biostatistik |0 (DE-588)4729990-3 |D s |
| 689 | 0 | 1 | |a Forschungsplanung |0 (DE-588)4155051-1 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-3-030-69641-2 |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032703820 | |
Datensatz im Suchindex
| _version_ | 1819310708755529730 |
|---|---|
| any_adam_object | |
| author | Kaltenbach, Hans-Michael |
| author_GND | (DE-588)1017565147 |
| author_facet | Kaltenbach, Hans-Michael |
| author_role | aut |
| author_sort | Kaltenbach, Hans-Michael |
| author_variant | h m k hmk |
| building | Verbundindex |
| bvnumber | BV047300652 |
| classification_rvk | SK 850 WC 7600 |
| ctrlnum | (OCoLC)1256428521 (DE-599)BVBBV047300652 |
| discipline | Biologie Mathematik |
| format | Book |
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| id | DE-604.BV047300652 |
| illustrated | Illustrated |
| indexdate | 2024-12-24T08:44:48Z |
| institution | BVB |
| isbn | 9783030696405 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032703820 |
| oclc_num | 1256428521 |
| open_access_boolean | |
| owner | DE-29T DE-11 |
| owner_facet | DE-29T DE-11 |
| physical | xiv, 269 Seiten Illustrationen, Diagramme 583 grams |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Springer |
| record_format | marc |
| series2 | Statistics for biology and health |
| spelling | Kaltenbach, Hans-Michael Verfasser (DE-588)1017565147 aut Statistical design and analysis of biological experiments Hans-Michael Kaltenbach Cham, Switzerland Springer [2021] xiv, 269 Seiten Illustrationen, Diagramme 583 grams txt rdacontent n rdamedia nc rdacarrier Statistics for biology and health Principles of Experimental Design.- Review of Statistical Concepts.- Planning for Precision and Power.- Comparing More than Two Groups.- Comparing Treatment Groups with Linear Contrasts.- Multiple Treatment Factors: Factorial Designs.- Improving Precision and Power: Blocked Designs.- Split-Unit Designs.- Many Treatment Factors: Fractional Factorial Designs.- Experimental Optimization with Response Surface Methods.- References.- Index. 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 Statistics Bioinformatics Statistics Forschungsplanung (DE-588)4155051-1 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Biostatistik (DE-588)4729990-3 s Forschungsplanung (DE-588)4155051-1 s DE-604 Erscheint auch als Online-Ausgabe 978-3-030-69641-2 |
| spellingShingle | Kaltenbach, Hans-Michael Statistical design and analysis of biological experiments Statistics Bioinformatics Statistics Forschungsplanung (DE-588)4155051-1 gnd Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4155051-1 (DE-588)4729990-3 |
| title | Statistical design and analysis of biological experiments |
| title_auth | Statistical design and analysis of biological experiments |
| title_exact_search | Statistical design and analysis of biological experiments |
| title_full | Statistical design and analysis of biological experiments Hans-Michael Kaltenbach |
| title_fullStr | Statistical design and analysis of biological experiments Hans-Michael Kaltenbach |
| title_full_unstemmed | Statistical design and analysis of biological experiments Hans-Michael Kaltenbach |
| title_short | Statistical design and analysis of biological experiments |
| title_sort | statistical design and analysis of biological experiments |
| topic | Statistics Bioinformatics Statistics Forschungsplanung (DE-588)4155051-1 gnd Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | Statistics Bioinformatics Statistics Forschungsplanung Biostatistik |
| work_keys_str_mv | AT kaltenbachhansmichael statisticaldesignandanalysisofbiologicalexperiments |