Picture 1 of 1
Stock photo
Picture 1 of 1
Stock photo
Statistics for Biology and Health Ser.: Statistical Design and Analysis of Biological Experiments by Hans-Michael Kaltenbach (2022, Trade Paperback)
Bargain Book Stores (1135038)
99.2% positive feedback
Price:
US $137.63
(inclusive of GST)
ApproximatelyS$ 176.18
+ $25.99 shipping
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherSpringer International Publishing A&G
ISBN-10303069643X
ISBN-139783030696436
eBay Product ID (ePID)13057259201
Product Key Features
Number of PagesXiv, 269 Pages
LanguageEnglish
Publication NameStatistical Design and Analysis of Biological Experiments
SubjectProbability & Statistics / General, Life Sciences / Biology, Bioinformatics
Publication Year2022
TypeTextbook
Subject AreaMathematics, Computers, Science
AuthorHans-Michael Kaltenbach
SeriesStatistics for Biology and Health Ser.
FormatTrade Paperback
Dimensions
Item Weight15.5 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal570.15195
Table Of ContentPrinciples 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.
SynopsisThis 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.
LC Classification NumberQA276-280
Be the first to write a review
