Experimental Design for the Life Sciences

Author: Graeme Ruxton,Nick Colegrave

Publisher: Oxford University Press

ISBN: 0199569126

Category: Education

Page: 178

View: 3585

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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.

Experimental Design for the Life Sciences

Author: Graeme D. Ruxton,Nick Colegrave

Publisher: N.A

ISBN: 9780198717355

Category:

Page: 202

View: 3078

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The careful design of experiments lies at the core of good research. Experimental Design for the Life Sciences equips you with the skills you need to effectively design experiments, making this essential aspect of the research process readily understandable. It demonstrates how goodexperimental design relies on clear thinking and biological understanding, not mathematical or statistical complexity. With a refreshingly approachable and articulate style, the book walks you through the considerations that go into designing an experiment in clear, practical terms. Using examples drawn from across the life sciences - from ecology, biochemistry, molecular biology, genetics, and health sciences - theauthors illustrate how these concepts are applied within the broad context of real biological research.Online Resource Centre:The Online Resource centre to accompany Experimental Design for the Life Sciences features:For students: * Self-test questions and answers* Additional examples* Supplementary sections discuss complex concepts and statistical issues in more depth* Links to useful websites and free softwareFor lecturers:* Suggested course structures, complete with practical exercises* Figures from the book, available to download

Principles of Experimental Design for the Life Sciences

Author: Murray R. Selwyn

Publisher: CRC Press

ISBN: 9780849394614

Category: Science

Page: 176

View: 5685

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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 Biologists

Author: David J. Glass

Publisher: N.A

ISBN: 9781621820413

Category: Science

Page: 294

View: 4283

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"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"--

An Introduction To Experimental Design And Statistics For Biology

Author: David Heath

Publisher: CRC Press

ISBN: 9780203499245

Category: Mathematics

Page: 384

View: 2365

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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.

Experimental Design

Procedures for the Behavioral Sciences

Author: Roger E. Kirk

Publisher: SAGE Publications

ISBN: 1483305511

Category: Social Science

Page: 1072

View: 1763

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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.

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: 2553

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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.

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: 8309

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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.

Optimal Experimental Design with R

Author: Dieter Rasch,Jurgen Pilz,L.R. Verdooren,Albrecht Gebhardt

Publisher: CRC Press

ISBN: 1439816980

Category: Mathematics

Page: 345

View: 9392

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Experimental design is often overlooked in the literature of applied and mathematical statistics: statistics is taught and understood as merely a collection of methods for analyzing data. Consequently, experimenters seldom think about optimal design, including prerequisites such as the necessary sample size needed for a precise answer for an experimental question. Providing a concise introduction to experimental design theory, Optimal Experimental Design with R: Introduces the philosophy of experimental design Provides an easy process for constructing experimental designs and calculating necessary sample size using R programs Teaches by example using a custom made R program package: OPDOE Consisting of detailed, data-rich examples, this book introduces experimenters to the philosophy of experimentation, experimental design, and data collection. It gives researchers and statisticians guidance in the construction of optimum experimental designs using R programs, including sample size calculations, hypothesis testing, and confidence estimation. A final chapter of in-depth theoretical details is included for interested mathematical statisticians.

Research Methods for the Biosciences

Author: Debbie Holmes,Peter Moody,Diana Dine,Laurence Trueman

Publisher: Oxford University Press

ISBN: 0198728492

Category:

Page: 488

View: 8512

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Scientific research is a proven and powerful tool for discovering the answers to biological questions. As such, today's students need to be well-versed in experimental design, analysis, and the communication of research. Furthermore, they must appreciate how all of these aspects areinterlinked - how, for example, statistics can be used to inform the design of a particular experiment. As a resource which skillfully integrates all of the key aspects relating to biological research, Research Methods for the Biosciences is the perfect guide for undergraduates.The exceptionally clear layout takes students through choosing a project and planning their research; collecting, evaluating, and analyzing their data; and finally reporting their results. Research methods, which can often seem abstract, are brought to life through the use of examples taken fromreal undergraduate research. Friendly guidance and advice is provided throughout the text, and little prior knowledge or mathematical experience is required. Since statistics is a subject best learned through doing, frequent worked examples appear throughout Part Two "Handling your data", showingstep-by-step how to carry out the various statistical tests. In addition, online software walkthroughs and video screencasts clearly demonstrate how to use software such as SPSS, Minitab, and Excel to carry out statistical analyses.Online Resource CentreThe Online Resource Centre to accompany Research Methods for the Biosciences features:For students:* New video screencasts showing how to carry out statistical tests using software* Statistical software walkthroughs for SPSS, Excel, and Minitab* Additional statistical tests not included in the main text* Full details of calculations given in the in-text boxes * Interactive and printable decision tree, to help you design your experiment* Interactive and printable risk assessment form* Integrative exercises to help students test their understanding of the topics in the bookFor lecturers:* A test bank of questions* Figures from the book available to download

Statistical Design

Author: George Casella

Publisher: Springer Science & Business Media

ISBN: 0387759646

Category: Mathematics

Page: 307

View: 3397

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Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can easily provide an incorrect analysis. The goal of this book is to describe the principles that drive good design, paying attention to both the theoretical background and the problems arising from real experimental situations. Designs are motivated through actual experiments, ranging from the timeless agricultural randomized complete block, to microarray experiments, which naturally lead to split plot designs and balanced incomplete blocks. George Casella is Distinguished Professor in the Department of Statistics at the University of Florida. He is active in many aspects of statistics, having contributed to theoretical statistics in the areas of decision theory and statistical confidence, to environmental statistics, and has more recently concentrated efforts in statistical genomics. He also maintains active research interests in the theory and application of Monte Carlo and other computationally intensive methods. He is listed as an ISI "Highly Cited Researcher." In other capacities, Professor Casella has served as Theory and Methods Editor of the Journal of the American Statistical Association, 1996-1999, Executive Editor of Statistical Science, 2001-2004, and Co-Editor of the Journal of the Royal Statistical Society, Series B, 2009-2012. He has served on the Board of Mathematical Sciences of the National Research Council, 1999-2003, and many committees of both the American Statistical Association and the Institute of Mathematical Statistics. Professor Casella has co-authored five textbooks: Variance Components, 1992; Theory of Point Estimation, Second Edition, 1998; Monte Carlo Statistical Methods, Second Edition, 2004; Statistical Inference, Second Edition, 2001, and Statistical Genomics of Complex Traits, 2007.

Experiment Design and Statistical Methods For Behavioural and Social Research

Author: David R. Boniface

Publisher: CRC Press

ISBN: 9780412542305

Category: Mathematics

Page: 272

View: 6555

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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.

The Design of Experiments in Neuroscience

Author: Mary Harrington

Publisher: SAGE

ISBN: 1412974321

Category: Medical

Page: 261

View: 5133

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“You are about to start on a great adventure. You are going to transition from reading about science to becoming a scientist.” -From the Preface Using engaging, disarming prose, author Mary Harrington shows neuroscience students how to go about selecting a topic, designing an experiment, analyzing the results, and publishing a paper. This text effectively illustrates basic research methods and design principles by uniquely using relevant examples from neuroscience such as the principles of design of fMRI studies, the use of transgenic mice, and conditional gene knockouts. The author also addresses basic professional ethics, fundamental statistics and data analysis tools, the range of possible experimental designs (from simple descriptive studies to multifactorial designs), and ways to control unwanted variables and avoid common pitfalls. This text is intended as either a core or supplemental text for both undergraduates and graduate students studying research methods in Neuroscience, Neuroanatomy, Neurophysiology, Neurochemistry, or Biological Psychology.

Planning, Proposing, and Presenting Science Effectively

A Guide for Graduate Students and Researchers in the Behavioral Sciences and Biology

Author: Jack P. Hailman,Karen B. Strier

Publisher: Cambridge University Press

ISBN: 1139459600

Category: Reference

Page: N.A

View: 6848

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This concise guide to planning, writing, and presenting research is intended for biology students of all levels, especially those in behavioral ecology, The reader is guided through a discussion of the nature of scientific research, how to plan research, and how to obtain funding. The authors give advice and guidelines for presenting results at research seminars and scientific meetings, and also provide useful tips on preparing abstracts and posters for scientific meetings. They discuss how to write an effective C.V. and give general tips on how to write clearly. The book is illuminated throughout with personal examples from the authors' own experiences and emphasis is placed on problems associated with field studies. All biologists will find this a valuable resource and guide for the early years of their scientific careers and established faculty will find it an essential instructional tool.

Fundamentals of Statistical Experimental Design and Analysis

Author: Robert G. Easterling

Publisher: John Wiley & Sons

ISBN: 1118954637

Category: Mathematics

Page: 272

View: 3059

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Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs: Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.

Experiments in the Purification and Characterization of Enzymes

A Laboratory Manual

Author: Thomas E. Crowley,Jack Kyte

Publisher: Academic Press

ISBN: 0124095933

Category: Science

Page: 266

View: 2922

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Experiments in the Purification and Characterization of Enzymes: A Laboratory Manual provides students with a working knowledge of the fundamental and advanced techniques of experimental biochemistry. Included are instructions and experiments that involve purification and characterization of enzymes from various source materials, giving students excellent experience in kinetics analysis and data analysis. Additionally, this lab manual covers how to evaluate and effectively use scientific data. By focusing on the relationship between structure and function in enzymes, Experiments in the Purification and Characterization of Enzymes: A Laboratory Manual provides a strong research foundation for students enrolled in a biochemistry lab course by outlining how to evaluate and effectively use scientific data in addition to offering students a more hands-on approach with exercises that encourage them to think deeply about the content and to design their own experiments. Instructors will find this book useful because the modular nature of the lab exercises allows them to apply the exercises to any set of proteins and incorporate the exercises into their courses as they see fit, allowing for greater flexibility in the use of the material. Written in a logical, easy-to-understand manner, Experiments in the Purification and Characterization of Enzymes: A Laboratory Manual is an indispensable resource for both students and instructors in the fields of biochemistry, molecular biology, chemistry, pharmaceutical chemistry, and related molecular life sciences such as cell biology, neurosciences, and genetics. Offers project lab formats for students that closely simulate original research projects Provides instructional guidance for students to design their own experiments Includes advanced analytical techniques Contains adaptable modular exercises that allow for the study proteins other than FNR, LuxG and LDH Includes access to a website with additional resources for instructors

Biostatistics

Experimental Design and Statistical Inference

Author: James F. Zolman

Publisher: Oxford University Press on Demand

ISBN: 9780195078107

Category: Medical

Page: 343

View: 7660

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This textbook takes a unique approach to explaining and demonstrating how to use and interpret statistics for the physiological, medical, and life sciences. The first third of the book presents an integrated overview and introduction to experimental design and statistical inference. The rest of the book provides an extensively cross-referenced set of 100 brief critiques of sample case studies embodying all the most common statistical errors or design problems found in the biological literature. These specific cases are effective for teaching the principles of biostatistics. The examples are drawn primarily from biomedicine, yet the book is also valuable to psychologists, social scientists, environmental scientists, ecologists, and any discipline employing statistics.

Statistical Methods in Biology

Design and Analysis of Experiments and Regression

Author: S.J. Welham,S.A. Gezan,S.J. Clark,A. Mead

Publisher: CRC Press

ISBN: 1439898057

Category: Mathematics

Page: 608

View: 8735

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Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience. Taking a practical and intuitive approach, the book 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. By the time you reach the end of the book (and online material) you will have gained: A clear appreciation of the importance of a statistical approach to the design of your experiments, A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables, Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly, An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working. The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.

Field Experiments

Design, Analysis, and Interpretation

Author: Alan S. Gerber,Donald P. Green

Publisher: W W Norton & Company Incorporated

ISBN: 9780393979954

Category: Mathematics

Page: 492

View: 6304

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A brief, authoritative introduction to field experimentation in the social sciences. Written by two leading experts on experimental methods, this concise text covers the major aspects of experiment design, analysis, and interpretation in clear language. Students learn how to design randomized experiments, analyze the data, and interpret the findings. Beyond the authoritative coverage of the basic methodology, the authors include numerous features to help students achieve a deeper understanding of field experimentation, including rich examples from the social science literature, problem sets and discussions, data sets, and further readings.