Experimental Design for the Life Sciences

Author: Graeme Ruxton,Nick Colegrave

Publisher: Oxford University Press

ISBN: 0199569126

Category: Education

Page: 178

View: 4368

Experimental Design for the Life Sciences teaches the reader how to effectively design experiments to ensure 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 the reader can grasp and apply even the most challenging concepts, including power analysis andpseudoreplication. The inter-relatedness of experimental design, statistics, and ethical considerations is emphasised throughout the book and, above all, Experimental Design for the Life Sciencesdemonstrates how good experimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity - putting it at the heart of any biosciences student's education.

Principles of Experimental Design for the Life Sciences

Author: Murray R. Selwyn

Publisher: CRC Press

ISBN: 9780849394614

Category: Science

Page: 176

View: 8935

Let this down-to-earth book be your guide to the statistical integrity of your work. Without relying on the detailed and complex mathematical explanations found in many other statistical texts, Principles of Experimental Design for the Life Sciences teaches how to design, conduct, and interpret top-notch life science studies. Learn about the planning of biomedical studies, the principles of statistical design, sample size estimation, common designs in biological experiments, sequential clinical trials, high dimensional designs and process optimization, and the correspondence between objectives, design, and analysis. Each of these important topics is presented in an understandable and non-technical manner, free of statistical jargon and formulas. Written by a biostatistical consultant with 25 years of experience, Principles of Experimental Design for the Life Sciences is filled with real-life examples from the author's work that you can quickly and easily apply to your own. These examples illustrate the main concepts of experimental design and cover a broad range of application areas in both clinical and nonclinical research. With this one innovative, helpful book you can improve your understanding of statistics, enhance your confidence in your results, and, at long last, shake off those statistical shackles!

Experimental design for the life sciences

Author: Graeme D. Ruxton,Nick Colegrave

Publisher: Oxford University Press, USA

ISBN: 9780199285112

Category: Language Arts & Disciplines

Page: 162

View: 4987

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. Emphasizing throughout the inter-relatednedd 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 the primary literature 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.


Einführung in die Statistik für Biologen und Agrarwissenschaftler

Author: W. Köhler,G. Schachtel,P. Voleske

Publisher: Springer-Verlag

ISBN: 3642695736

Category: Technology & Engineering

Page: 258

View: 2521


Experimental Design: Procedures for the Behavioral Sciences

Procedures for the Behavioral Sciences

Author: Roger E. Kirk

Publisher: SAGE

ISBN: 1412974453

Category: Education

Page: 1056

View: 4522

Experimental Design: Procedures for Behavioral Sciences, Fourth Edition is a classic text with a reputuation for accessibility and readability. It has been revised and updated to make learning design concepts even easier. Roger E. Kirk shows how three simple experimental designs can be combined to form a variety of complex designs. He provides diagrams illustrating how subjects are assigned to treatments and treatment combinations. New terms are emphasized in boldface type, there are summaries of the advantages and disadvantages of each design, and real-life examples show how the designs are used.

Statistical and Data Handling Skills in Biology

Author: A. R. Ennos

Publisher: Pearson Education

ISBN: 9780131955844

Category: Science

Page: 235

View: 9146

The ideal companion for the working biologist, covering all the statistical tests needed throughout all levels of study. Uses the statistical test decision chart to point students to the correct test they need Biological examples used throughout the book Step by step instructions on carrying out statistical tests on both a calculator and using SPSS Demonstrates the relevance and usefulness of statistics to biology students Self assessment exercises throughout the book

Effective Learning in the Life Sciences

How Students Can Achieve Their Full Potential

Author: David Adams

Publisher: John Wiley & Sons

ISBN: 1119977630

Category: Science

Page: 288

View: 8384

Effective Learning in the Life Sciences is intended to help ensure that each student achieves his or her true potential by learning how to solve problems creatively in laboratory, field or other workplace setting. Each chapter describes state of the art approaches to learning and teaching and will include case studies, worked examples and a section that lists additional online and other resources. All of the chapters are written from the perspective both of students and academics and emphasize and embrace effective scientific method throughout. This title also draws on experience from a major project conducted by the Centre for Bioscience, with a wide range of collaborators, designed to identify and implement creative teaching in bioscience laboratories and field settings. With a strong emphasis on students thinking for themselves and actively learning about their chosen subject Effective Learning in the Life Sciences provides an invaluable guide to making the university experience as effective as possible.

An Introduction To Experimental Design And Statistics For Biology

Author: David Heath

Publisher: CRC Press

ISBN: 9780203499245

Category: Mathematics

Page: 384

View: 7854

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.

Statistics Explained

An Introductory Guide for Life Scientists

Author: Steve McKillup

Publisher: Cambridge University Press

ISBN: 1139502948

Category: Medical

Page: N.A

View: 1807

An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses, critically evaluate the design of experiments and proceed to more advanced material. Taking a straightforward conceptual approach, it is specifically designed to foster understanding, demystify difficult concepts and encourage the unsure. Even complex topics are explained clearly, using a pictorial approach with a minimum of formulae and terminology. Examples of tests included throughout are kept simple by using small data sets. In addition, end-of-chapter exercises, new to this edition, allow self-testing. Handy diagnostic tables help students choose the right test for their work and remain a useful refresher tool for postgraduates.

Measuring Behaviour

An Introductory Guide

Author: Paul Martin,Patrick Bateson

Publisher: Cambridge University Press

ISBN: 1139643754

Category: Science

Page: N.A

View: 7050

Measuring Behaviour has established itself as a standard text. Largely rewritten, updated and reorganised, this third edition is, as before, a guide to the principles and methods of quantitative studies of behaviour, with an emphasis on techniques of observation, recording and analysis. It provides the basic knowledge needed to measure behaviour, doing so in a succinct and easily understood form. The sections on research design and the interpretation and presentation of data have been greatly expanded. Written with brevity and clarity, Measuring Behaviour is, above all, a practical guide book. Aimed primarily at undergraduate and graduate students in biology and psychology who are about to embark upon quantitative studies of animal and human behaviour, this book provides a concise review of methodology that will be of great value to scientists of all disciplines in which behaviour is measured, including biological anthropology, the social sciences and medicine.

Analysis of Variance and Covariance

How to Choose and Construct Models for the Life Sciences

Author: C. Patrick Doncaster,Andrew J. H. Davey

Publisher: Cambridge University Press

ISBN: 1139466224

Category: Medical

Page: N.A

View: 7107

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. This reference book bridges the gap between statistical theory and practical data analysis by presenting a comprehensive set of tables for all standard models of analysis of variance and covariance with up to three treatment factors. The book will serve as a tool to help post-graduates and professionals define their hypotheses, design appropriate experiments, translate them into a statistical model, validate the output from statistics packages and verify results. The systematic layout makes it easy for readers to identify which types of model best fit the themes they are investigating, and to evaluate the strengths and weaknesses of alternative experimental designs. In addition, a concise introduction to the principles of analysis of variance and covariance is provided, alongside worked examples illustrating issues and decisions faced by analysts.

Statistics for Sports and Exercise Science

A Practical Approach

Author: John Newell,Tom Aitchison,Stanley Grant

Publisher: Routledge

ISBN: 1317904184

Category: Sports & Recreation

Page: 440

View: 6388

Statistics in Sport and Exercise Science assumes no prior knowledge of statistics and uses real-life case studies to introduce the importance of statistics in sport and exercise science. Statistical tests and techniques are described here in a friendly and easy-to-understand manner, giving you the confidence to analyses data and complete your own statistical studies.

Experimental Design for Biologists

Author: David J. Glass

Publisher: N.A

ISBN: 9781621820413

Category: Science

Page: 294

View: 1426

"Experimental Design for Biologists is a unique and successful handbook on the theory and practice of effective design of scientific experiments, based on a well-received course by the author. This second edition is entirely reorganized, rewritten, and includes new material and figures. The material is presented in seven parts: Philosophy of Scientific Experimentation, Mapping Out the Project, System Validation, Experimental Design, Examples, What Comes After, and Putting It All Together. Experimental Design for Biologists, Second Edition, is an essential source in designing a sound research plan, critical to the success of graduate students"--

Experiment Design and Statistical Methods For Behavioural and Social Research

Author: David R. Boniface

Publisher: CRC Press

ISBN: 9780412542305

Category: Mathematics

Page: 272

View: 567

Experiment Design and Statistical Methods introduces the concepts, principles, and techniques for carrying out a practical research project either in real world settings or laboratories - relevant to studies in psychology, education, life sciences, social sciences, medicine, and occupational and management research. The text covers: repeated measures unbalanced and non-randomized experiments and surveys choice of design adjustment for confounding variables model building and partition of variance covariance multiple regression Experiment Design and Statistical Methods contains a unique extension of the Venn diagram for understanding non-orthogonal design, and it includes exercises for developing the reader's confidence and competence. The book also examines advanced techniques for users of computer packages or data analysis, such as Minitab, SPSS, SAS, SuperANOVA, Statistica, BMPD, SYSTAT, Genstat, and GLIM.

Practical Statistics and Experimental Design for Plant and Crop Science

Author: Alan G. Clewer,David H. Scarisbrick

Publisher: John Wiley & Sons

ISBN: 1118685660

Category: Science

Page: 344

View: 2722

Presents readers with a user-friendly, non-technical introductionto statistics and the principles of plant and crop experimentation.Avoiding mathematical jargon, it explains how to plan and design anexperiment, analyse results, interpret computer output and presentfindings. Using specific crop and plant case studies, this guidepresents: * The reasoning behind each statistical method is explained beforegiving relevant, practical examples * Step-by-step calculations with examples linked to three computerpackages (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 toundergraduate and postgraduate students studying plant sciences,including plant and crop physiology, biotechnology, plant pathologyand agronomy, plus ecology and environmental science students andthose wanting a refresher or reference book in statistics.

Wörterbuch Design

Begriffliche Perspektiven des Design

Author: Michael Erlhoff,Timothy Marshall

Publisher: Walter de Gruyter

ISBN: 3764381426

Category: Design

Page: 472

View: 9940

Dieses Wörterbuch bietet die interessante und kategoriale Grundlage für einen ernsthaften internationalen Diskurs über Design. Es ist das Handbuch für alle, die mit Design beruflich und in der Ausbildung zu tun haben, sich dafür interessieren, sich daran vergnügen und Design begreifen wollen. Über 100 Autorinnen und Autoren u.a. aus Japan, Österreich, England, Deutschland, Australien, aus der Schweiz, den Niederlanden und aus den USA haben für dieses Design-Wörterbuch Originalbeiträge geschrieben und bieten so bei aller kulturellen Differenz mögliche Erörterungen an, sich über wesentliche Kategorien des Design und somit über Design grundlegend zu verständigen. Es umfasst sowohl die teilweise noch jungen Begriffe aktueller Diskussionen als auch Klassiker der Design-Diskurse. – Ein praktisches Buch, das sowohl Wissenschaftscharakter hat als auch ein Buch zum Blättern und Lesen ist.

Experimental Design for Laboratory Biologists

Maximising Information and Improving Reproducibility

Author: Stanley E. Lazic

Publisher: Cambridge University Press

ISBN: 1316810674

Category: Medical

Page: N.A

View: 3582

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.

Statistics and experimental design for behavioral and biological researchers

an introduction

Author: Victor H. Denenberg

Publisher: Halsted Press


Category: Science

Page: 344

View: 3188

What statistics is all about; Measurement: the choice of an endpoint; Descriptive statistics: frequency curves, averages, and variability; Making inferences about population parameters: general principles; The normal curve; The distribution; Comparing the means of an experimental and a control group; The analysis of variance: single classification; The analysis of variance: nested designs randomized blocks, and factorial experiments; Determining the linear relationship between variables: the correlation coefficient; Chi-square tests of nominal data; Order statistics for ranked data.