Experimental Design For Biologists
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Author | : David J. Glass |
Publisher | : CSHL Press |
Total Pages | : 211 |
Release | : 2007 |
Genre | : Biology |
ISBN | : 0879697350 |
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.
Author | : Gerald Peter Quinn |
Publisher | : Cambridge University Press |
Total Pages | : 560 |
Release | : 2002-03-21 |
Genre | : Mathematics |
ISBN | : 9780521009768 |
Regression, analysis of variance, correlation, graphical.
Author | : Stanley E. Lazic |
Publisher | : Cambridge University Press |
Total Pages | : 429 |
Release | : 2016-12-08 |
Genre | : Medical |
ISBN | : 1316810674 |
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.
Author | : David Heath |
Publisher | : CRC Press |
Total Pages | : 372 |
Release | : 1995-10-26 |
Genre | : Mathematics |
ISBN | : 1135370117 |
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
Author | : Graeme D. Ruxton |
Publisher | : |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Experimental design |
ISBN | : 9780191975202 |
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.
Author | : Helmut F. van Emden |
Publisher | : John Wiley & Sons |
Total Pages | : 413 |
Release | : 2019-07-09 |
Genre | : Medical |
ISBN | : 1119563682 |
Makes mathematical and statistical analysis understandable to even the least math-minded biology student This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists, 2nd Edition draws on the author’s 30 years of lecturing experience to teach statistical methods to even the most guarded of biology students. It presents basic methods using straightforward, jargon-free language. Students are taught to use simple formulae and how to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple examples and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities. Statistics for Terrified Biologists presents readers with the basic foundations of parametric statistics, the t-test, analysis of variance, linear regression and chi-square, and guides them to important extensions of these techniques. It introduces them to non-parametric tests, and includes a checklist of non-parametric methods linked to their parametric counterparts. The book also provides many end-of-chapter summaries and additional exercises to help readers understand and practice what they’ve learned. Presented in a clear and easy-to-understand style Makes statistics tangible and enjoyable for even the most hesitant student Features multiple formulas to facilitate comprehension Written by of the foremost entomologists of his generation This second edition of Statistics for Terrified Biologists is an invaluable guide that will be of great benefit to pre-health and biology undergraduate students.
Author | : S.J. Welham |
Publisher | : CRC Press |
Total Pages | : 592 |
Release | : 2014-08-22 |
Genre | : Mathematics |
ISBN | : 1439898057 |
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.
Author | : Roger H. Green |
Publisher | : John Wiley & Sons |
Total Pages | : 278 |
Release | : 1979-05-01 |
Genre | : Science |
ISBN | : 9780471039013 |
Provides--in an organized and compact source--a comprehensive guide to the principles of sampling design and statistical analysis methods. Reviews the principles of inference, sampling and statistical design, and hypothesis formulation, all with special reference to ecological data. Includes an impact study illustrating the principles presented. Contains a key to five broad categories of environmental studies--as well as examples and examines specific topics that apply to any environmental study. Provides a comprehensive bibliography which is cross-referenced to the text and keyed to a specific topic code (types of methods and environments studied).
Author | : Richard M. Simon |
Publisher | : Springer Science & Business Media |
Total Pages | : 205 |
Release | : 2006-05-09 |
Genre | : Medical |
ISBN | : 0387218661 |
The analysis of gene expression profile data from DNA micorarray studies are discussed in this book. It provides a review of available methods and presents it in a manner that is intelligible to biologists. It offers an understanding of the design and analysis of experiments utilizing microarrays to benefit scientists. It includes an Appendix tutorial on the use of BRB-ArrayTools and step by step analyses of several major datasets using this software which is available from the National Cancer Institute.
Author | : SUSAN. HUBER HOLMES (WOLFGANG.) |
Publisher | : Cambridge University Press |
Total Pages | : 407 |
Release | : 2018 |
Genre | : Biometry |
ISBN | : 1108427022 |