Experimental Design for Biologists

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Badly Needed Advice to the Young Experimentor.......2007-01-03

Students are taught to do expeiments in college, but these are carefully planned with the procedure and the results well tested. As the students move towards a graduate degree, they are expected to begin to do research of an original nature where neither the procedure nor the results are known in advance. This is a big step, and in general there has been little practical advice on how the student should proceed, just what is expected of him, how he is to work with his major professor, even how to know when he has found something.

This book, according to the author, is the result of a dinner with some fellow scientists where the wine flowed freely. They were lamenting about the differences in what students were being taught and the way that science was actually practiced.

The book lays out what happens to a real project. It begins with the first step of defining the problem to be studied, conducting research on what's been done on that problem, defining the experiments, controls, experimenting, confirming, peer review, using the results for predictions, and finally continuing the developmental effort into the future.

This is not a large book, but it provides a wealth of knowledge of the real world that the academic is preparing to enter. It is written in a light and entertaining style that doesn't hide the fact that the author has 'been there, done that.'

Highly Recommended!

An Introduction To Experimental Design And Statistics For Biology

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Readable book about statistics.

An Introduction To Experimental Design And Statistics For Biology
David Heath
Manufacturer: CRC
ProductGroup: Book
Binding: Paperback

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Experimental Design and Data Analysis for Biologists

ASIN: 1857281322

Book Description

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 worked examples. The examples are drawn from all areas of biology, from biochemistry to ecology and from cell to animal biology. The book provides everything required in an introductory statistics course for biology undergraduates, and it is also useful for more specialized undergraduate courses in ecology, botany, and zoology.

Customer Reviews:

Readable book about statistics........2001-11-27

This book covers a dry subject in a way that hasn't put me to sleep. It uses practical examples more than just formulas to explain the ideas. It also deals with common problems with experimental design quite well.

Design and Analysis of Ecological Experiments

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Design and Analysis of Ecological Experiments

Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Paperback

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ASIN: 0195131886

Book Description

Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice. The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.

Practical Statistics and Experimental Design for Plant and Crop Science

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Practical Statistics and Experimental Design for Plant and Crop Science
Alan G. Clewer , and David H. Scarisbrick
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback

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ASIN: 0471899097

Book Description

Presents readers with a user-friendly, non-technical introduction to statistics and the principles of plant and crop experimentation. Avoiding mathematical jargon, it explains how to plan and design an experiment, analyse results, interpret computer output and present findings. Using specific crop and plant case studies, this guide presents:

The reasoning behind each statistical method is explained before giving relevant, practical examples
Step-by-step calculations with examples linked to three computer packages (MINITAB, GENSTAT and SAS)
Exercises at the end of many chapters
Advice on presenting results and report writing

Written by experienced lecturers, this text will be invaluable to undergraduate and postgraduate students studying plant sciences, including plant and crop physiology, biotechnology, plant pathology and agronomy, plus ecology and environmental science students and those wanting a refresher or reference book in statistics.

Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance

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Introduction to Mixed Modelling: Beyond Regression and Analysis of Variance
N. W. Galwey
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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ASIN: 0470014962

Book Description

Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modelling as an intimidating and specialized technique. This book introduces mixed modelling analysis in a simple and straightforward way, allowing the reader to apply the technique confidently in a wide range of situations.

Introduction to Mixed Modelling shows that mixed modelling is a natural extension of the more familiar statistical methods of regression analysis and analysis of variance. In doing so, it provides the ideal introduction to this important statistical technique for those engaged in the statistical analysis of data.

This essential book:

Demonstrates the power of mixed modelling in a wide range of disciplines, including industrial research, social sciences, genetics, clinical research, ecology and agricultural research.
Illustrates how the capabilities of regression analysis can be combined with those of ANOVA by the specification of a mixed model.
Introduces the criterion of Restricted Maximum Likelihood (REML) for the fitting of a mixed model to data.
Presents the application of mixed model analysis to a wide range of situations and explains how to obtain and interpret Best Linear Unbiased Predictors (BLUPs).
Features a supplementary website containing solutions to exercises, further examples, and links to the computer software systems GenStat and R.

Book Description

This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.

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An essential textbook for any student or researcher in biology needing to design experiments, sampling 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 web-site that provides all data sets, questions for each chapter and links to software.

Customer Reviews:

Designing your field studies.......2007-02-20

The book is riddled with different examples from articles of recent and past publications which have both good and bad experimental designs. The authors tried to explain the basic underlying designs of these published field studies and then they tried to give suggestions of how it would have been to be without underestimating the cost and labor done by the published authors.Most of the examples come from field community ecology, and I think this book is highly recommended for aspiring field ecologist as the numerous examples cited can guide you to design against what is superficial, unprepared field experiments. Not to limit the book, this works also even for other fields in biology such as laboratory studies. The principles being taught can be applied in both.

Experimental Design and Data Analysis for Biologists.......2006-11-03

Well explained statistical theory and applications for the biologist.

Comprehensive, advanced, and often a good read.......2005-09-14

Comprehensible, comprehensive, and interesting statistical texts are as rare as the Tasmanian Tiger. This text is very comprehensive and is loaded with interesting examples and does an excellent job of presenting the scientific method. It's not always as easy to follow as I would like, but I deal with this by recommending to my students that they read the assignment after, instead of before the lecture. I cover the first 12 chapters (through covariance) in my upper division Biometry course. I'm an ecologist and have enjoyed learning much that was never covered in my undergraduate biometry and two graduate statistics courses. This would be an excellent text for graduate courses.

Experimental Design for Formulation (ASA-SIAM Series on Statistics and Applied Probability)

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Experimental Design for Formulation (ASA-SIAM Series on Statistics and Applied Probability)
Wendell F. Smith
Manufacturer: SIAM: Society for Industrial and Applied Mathematics
ProductGroup: Book
Binding: Paperback

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ASIN: 0898715806

Book Description

This book describes a systematic methodology for formulating mixed-ingredient products so that they perform to particular standards, providing scientists and engineers with a fast track to the implementation of the methodology. Examples from a wide variety of fields are included, as well as a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, the combining of mixture and nonmixture variables in a designed experiment, and the concept of collinearity and the possible problems that can result from its presence. The book is a useful manual for the formulator and can also be used by a resident statistician to teach an in-house short course. Statistical proofs are largely absent, and the formulas that are presented are included to explain how the various software packages carry out the analysis.

Experimental Design for the Life Sciences

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Experimental Design for the Life Sciences
Graeme D. Ruxton , and Nick Colegrave
Manufacturer: Oxford University Press, USA
ProductGroup: Book
Binding: Paperback

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ASIN: 019928511X

Book Description

At the core of good research lies the careful design of experiments. Yet all too often a successful design comes only after a painful trial-and-error process, wasting valuable time and valuable resources. Experimental Design for the Life Sciences teaches the reader how to effectively design experiments, to ensure that today's students are equipped with the skills they need to be the researchers of tomorrow. With a refreshingly approachable and articulate style, the book explains the essential elements of experimental design in clear, practical terms, so that the reader can grasp and apply even the most challenging concepts, including power analysis and pseudoreplication. Emphasising throughout the inter-relatedness of experimental design, statistics, and ethical considerations, the book ensures that the reader really understands experimental design in the broader context of biological research, using examples drawn from a range of fields across the biosciences to show to the student how the theory is applied in active research. Above all, Experimental Design for the Life Sciences shows how good experimental design is about clear thinking and biological understanding, not mathematical or statistical complexity - putting it at the heart of any biosciences student's education. Online Resource Centre: The companion web site features: For lecturers: DT Figures from the book available to download, to facilitate lecture preparation For students and lecturers: DT Discussion forum, promoting the discussion of experimental design in real research, to stimulate active learning on the part of the student.

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Well constructed and potentially useful
A wonderful book for pharmacological Researchers

Drug Discovery and Evaluation

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 3540423966

Book Description

Now expanded and updated to include molecular biology and genetic engineering techniques! The 2nd edition of this successful reference book contains a comprehensive selection of the most frequently used assays for reliably detecting the pharmacological effects of potential drugs. Effects covered include cardiovascular, analgesic, endocrine, psychotropic respiratory, renal and immunomodulatory activities. Each of the more than 1000 assays comprises a detailed protocol outlining the purpose and rationale of the method, a critical assessment of the results and their pharmacological and clinical relevance. The enclosed and fully searchable CD-ROM allows easy identification of specific tests. An appendix with up-to-date guidelines and legal regulations for animal experiments in various countries will help the reader to plan experiments more effectively.

Customer Reviews:

Well constructed and potentially useful.......2005-09-15

I have the 2nd edition of this reference, obtained in 2003. Springer-Verlag and their printers have done a very nice job of making this large (1400-page) book, and they provide a very readable typeset. The text is laid out in numerous short application notes describing different pharmacological assays, and these include sections on the study's purpose, a paragraph on the procedure, another on the approach to interpreting results, a fourth cursory section discussing modifications of the method by others, and a usually generous list of references after that. A big plus, I think, is the inclusion of a CD-ROM that contains an Adobe PDF of the entire text. This is a better medium in which to do searching, especially since the hardcover's printed lookup is set up in such extensive run-in indexing, with numerous cascades of indented em-dashes on subentries that it is really kind of annoying. The Contents list, grouped by organ systems, is a lot more useful.

It's still a difficult call making a decision to recommend a text like this - if you are actively doing pharmacological research, your sources are probably more current at your bench, or in recent journals and meetings. But, the very readable structure, many references, and a useful CD-ROM, suggests Vogel's text as an appealing and well-assembled package for academic and group reference.

A wonderful book for pharmacological Researchers.......2000-06-30

The book is a wonderful addition to books on drug evaluation. I feel pharmacologists are getting very few books on this subject. This book can end up the search for such pharmacologists. It will surely boost the research in this field. I hope that this book should reach into hands of every pharmacologists. Whether he/she is a academician or researcher, this book will be a valuable addition to his/her personal library. Each institute conducting research or teaching in pharmacology should also have this book in the library.

Book Description

Purposefully designed as a resource for practicing and student toxicologists, Statistics and Experimental Design for Toxicologists and Pharmacologists, Fourth Edition equips you for the regular statistical analysis of experimental data. Starting with the assumption of basic mathematical skills and knowledge, the author supplies a complete and systematic yet practical introduction to the statistical methodologists available for, and used in, the discipline. For every technique presented, a worked example from toxicology is also presented. See what's new in the Fourth Edition: · The first practical guide to performing meta analysis allowing for using the power inherent in multiple similar studies · Coverage of Bayesian analysis and data analysis in pharmacology and toxicology · Almost 200 problems with solutions · Discussion of analysis of receptor binding assays, safety pharmacology assays and other standard types conducted in pharmacology · A new chapter explaining the basics of Good Laboratory Practices (GLPs) · For those with computer skills, this edition has been enhanced with the addition of basic SAS Written specifically for toxicologists and pharmacologists, the author draws on more than 30 years of experience to provide understanding of the philosophical underpinnings for the overall structure of analysis. The book's organization fosters the ordered development of skills and yet still facilitates ease of access to information as needed. This Fourth Edition gives you the tools necessary to perform rigorous and critical analysis of experimental data and the insight to know when to use them.

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