Buch, Englisch, 216 Seiten, Format (B × H): 154 mm x 236 mm, Gewicht: 335 g
ISBN: 978-0-387-77281-3
Verlag: Springer
This "nuts and bolts" book provides a condensation of biostatistical methods that applied microbiology researchers need to perform data analyses. Based on the author’s more than two decades of applied research and teaching experience, it is presented in a straight-forward manner, applicable by practicing microbiologists with minimal backgrounds in mathematics. All methods rely only on the use of a basic hand-held calculator. The overriding goal of this book is to ground one’s microbiological expertise and experience in one’s research pursuits, using biostatistics not as a black box, but as a tool. The book begins with a broad discussion of the experimental process, leading to one-sample, two-sample, and multi-sample comparisons. Each regression analysis is presented, as well as an example. Nonparametric methods are discussed, as well as when they should be applied. Finally, special topics of statistics in microbiology are presented.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Biomedizin, Medizinische Forschung, Klinische Studien
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Medizinische Mikrobiologie & Virologie
- Naturwissenschaften Biowissenschaften Biowissenschaften
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Naturwissenschaften Biowissenschaften Mikrobiologie
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
- Naturwissenschaften Biowissenschaften Biochemische Immunologie
Weitere Infos & Material
BioStatistics and Microbiology: Introduction.- One-Sample Tests.- Two-Sample Statistical Tests, Normal Distribution.- Analysis of Variance.- Regression and Correlation Analysis.- Qualitative Data Analysis.- Nonparametric Statistical Methods.
