Experimental Design For Biologists
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Experimental Design For Biologists
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Author : David J. Glass
language : en
Publisher: CSHL Press
Release Date : 2007
Experimental Design For Biologists written by David J. Glass and has been published by CSHL Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Biology categories.
The effective design of scientific experiments is critical to success, yet graduate students receive very little formal training in how to do it. Based on a well-received course taught by the author, Experimental Design for Biologistsfills this gap. Experimental Design for Biologistsexplains how to establish the framework for an experimental project, how to set up a system, design experiments within that system, and how to determine and use the correct set of controls. Separate chapters are devoted to negative controls, positive controls, and other categories of controls that are perhaps less recognized, such as “assumption controls†and “experimentalist controls†. Furthermore, there are sections on establishing the experimental system, which include performing critical “system controls†. Should all experimental plans be hypothesis-driven? Is a question/answer approach more appropriate? What was the hypothesis behind the Human Genome Project? What color is the sky? How does one get to Carnegie Hall? The answers to these kinds of questions can be found in Experimental Design for Biologists. Written in an engaging manner, the book provides compelling lessons in framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. Experimental Design for Biologistsis an essential source of theory and practical guidance in designing a research plan.
Experimental Design And Data Analysis For Biologists
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Author : Gerald Peter Quinn
language : en
Publisher: Cambridge University Press
Release Date : 2002-03-21
Experimental Design And Data Analysis For Biologists written by Gerald Peter Quinn and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-03-21 with Mathematics categories.
An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
An Introduction To Experimental Design And Statistics For Biology
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Author : David Heath
language : en
Publisher: CRC Press
Release Date : 1995-10-26
An Introduction To Experimental Design And Statistics For Biology written by David Heath and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-10-26 with Mathematics categories.
This illustrated textbook for biologists provides a refreshingly clear and authoritative introduction to the key ideas of sampling, experimental design, and statistical analysis. The author presents statistical concepts through common sense, non-mathematical explanations and diagrams. These are followed by the relevant formulae and illustrated by w
Experimental Design For Laboratory Biologists
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Author : Stanley E. Lazic
language : en
Publisher: Cambridge University Press
Release Date : 2016-12-08
Experimental Design For Laboratory Biologists written by Stanley E. Lazic and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-08 with Medical categories.
Specifically intended for lab-based biomedical researchers, this practical guide shows how to design experiments that are reproducible, with low bias, high precision, and widely applicable results. With specific examples from research using both cell cultures and model organisms, it explores key ideas in experimental design, assesses common designs, and shows how to plan a successful experiment. It demonstrates how to control biological and technical factors that can introduce bias or add noise, and covers rarely discussed topics such as graphical data exploration, choosing outcome variables, data quality control checks, and data pre-processing. It also shows how to use R for analysis, and is designed for those with no prior experience. An accompanying website (https://stanlazic.github.io/EDLB.html) includes all R code, data sets, and the labstats R package. This is an ideal guide for anyone conducting lab-based biological research, from students to principle investigators working in either academia or industry.
Statistical Methods In Biology
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Author : S.J. Welham
language : en
Publisher: CRC Press
Release Date : 2014-08-22
Statistical Methods In Biology written by S.J. Welham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-22 with Mathematics categories.
Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.
Experimental Design For The Life Sciences
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Author : Graeme D. Ruxton
language : en
Publisher:
Release Date : 2023
Experimental Design For The Life Sciences written by Graeme D. Ruxton and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Experimental design categories.
Providing students with clear and practical advice on how best to organise experiments and collect data so as to make the subsequent analysis easier and their conclusions more robust, this text assumes no specialist knowledge.
Dysteleology
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Author : Michael Berhow
language : en
Publisher: Wipf and Stock Publishers
Release Date : 2019-06-25
Dysteleology written by Michael Berhow and has been published by Wipf and Stock Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-25 with Religion categories.
A common theological critique of intelligent design (ID) centers on the problem of dysteleology. This problem states that because there are clear examples of suboptimal design in biology, life is probably not the product of an engineer-like designer. If it were, then one could argue that the designer is less than fully competent. ID critic Francisco Ayala expresses this critique in the following question: “If functional design manifests an Intelligent Designer, why should not deficiencies indicate that the Designer is less than omniscient, or less than omnipotent?” This book provides a philosophical analysis of two approaches to answering this question, one offered by Ayala and the other offered by William Dembski, a leading ID theorist.
Understanding Statistics And Experimental Design
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Author : Michael H. Herzog
language : en
Publisher: Springer
Release Date : 2019-08-13
Understanding Statistics And Experimental Design written by Michael H. Herzog and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Science categories.
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Biostatistical Design And Analysis Using R
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Author : Dr Murray Logan
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Biostatistical Design And Analysis Using R written by Dr Murray Logan and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-20 with Science categories.
R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research. Topics covered include: simple hypothesis testing, graphing exploratory data analysis and graphical summaries regression (linear, multi and non-linear) simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures) frequency analysis and generalized linear models. Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques. The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.
Tools For Critical Thinking In Biology
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Author : Stephen H. Jenkins
language : en
Publisher:
Release Date : 2015
Tools For Critical Thinking In Biology written by Stephen H. Jenkins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Education categories.
Featuring a new approach to an undergraduate biology text, Tools for Critical Thinking in Biology emphasizes and is organized around methods and different ways of experimentation, rather than around biological topics. The result is a book that teaches new biology students to think critically about a wide range biological questions and subjects.