Statistical Design And Analysis Of Biological Experiments

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Statistical Design and Analysis of Biological Experiments

Hans-Michael Kaltenbach
Statistical Design and Analysis of Biological Experiments Book PDF

Author : Hans-Michael Kaltenbach
Publisher : Springer Nature
Page : 281 pages
File Size : 46,7 Mb
Release : 2021-04-15
Category : Mathematics
ISBN : 9783030696412

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Statistical Design and Analysis of Biological Experiments by Hans-Michael Kaltenbach Pdf

This richly illustrated book provides an overview of the design and analysis of experiments with a focus on non-clinical experiments in the life sciences, including animal research. It covers the most common aspects of experimental design such as handling multiple treatment factors and improving precision. In addition, it addresses experiments with large numbers of treatment factors and response surface methods for optimizing experimental conditions or biotechnological yields. The book emphasizes the estimation of effect sizes and the principled use of statistical arguments in the broader scientific context. It gradually transitions from classical analysis of variance to modern linear mixed models, and provides detailed information on power analysis and sample size determination, including ‘portable power’ formulas for making quick approximate calculations. In turn, detailed discussions of several real-life examples illustrate the complexities and aberrations that can arise in practice. Chiefly intended for students, teachers and researchers in the fields of experimental biology and biomedicine, the book is largely self-contained and starts with the necessary background on basic statistical concepts. The underlying ideas and necessary mathematics are gradually introduced in increasingly complex variants of a single example. Hasse diagrams serve as a powerful method for visualizing and comparing experimental designs and deriving appropriate models for their analysis. Manual calculations are provided for early examples, allowing the reader to follow the analyses in detail. More complex calculations rely on the statistical software R, but are easily transferable to other software. Though there are few prerequisites for effectively using the book, previous exposure to basic statistical ideas and the software R would be advisable.

Statistical Methods in Biology

S.J. Welham,S.A. Gezan,S.J. Clark,A. Mead
Statistical Methods in Biology Book PDF

Author : S.J. Welham,S.A. Gezan,S.J. Clark,A. Mead
Publisher : CRC Press
Page : 606 pages
File Size : 46,8 Mb
Release : 2014-08-22
Category : Mathematics
ISBN : 9781439808788

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Statistical Methods in Biology by S.J. Welham,S.A. Gezan,S.J. Clark,A. Mead Pdf

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.

An Introduction To Experimental Design And Statistics For Biology

David Heath
An Introduction To Experimental Design And Statistics For Biology Book PDF

Author : David Heath
Publisher : CRC Press
Page : 390 pages
File Size : 50,6 Mb
Release : 1995-10-26
Category : Mathematics
ISBN : 0203499247

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An Introduction To Experimental Design And Statistics For Biology by David Heath Pdf

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 and Data Analysis for Biologists

Gerald Peter Quinn,Michael J. Keough
Experimental Design and Data Analysis for Biologists Book PDF

Author : Gerald Peter Quinn,Michael J. Keough
Publisher : Cambridge University Press
Page : 560 pages
File Size : 53,7 Mb
Release : 2002-03-21
Category : Mathematics
ISBN : 0521009766

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Experimental Design and Data Analysis for Biologists by Gerald Peter Quinn,Michael J. Keough Pdf

Regression, analysis of variance, correlation, graphical.

Practical Statistics for Experimental Biologists

A. C. Wardlaw
Practical Statistics for Experimental Biologists Book PDF

Author : A. C. Wardlaw
Publisher : Unknown
Page : 310 pages
File Size : 42,7 Mb
Release : 1985-12-23
Category : Science
ISBN : UOM:39015053357128

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Practical Statistics for Experimental Biologists by A. C. Wardlaw Pdf

The design and analysis of biological experiments, and the subsequent successful handling of the large amounts of data generated requires a good working knowledge of statistical principles if reliable results are to be obtained. Familiar experiments present such principles.

Experimental Design for Laboratory Biologists

Stanley E. Lazic
Experimental Design for Laboratory Biologists Book PDF

Author : Stanley E. Lazic
Publisher : Cambridge University Press
Page : 429 pages
File Size : 47,9 Mb
Release : 2016-12-08
Category : Family & Relationships
ISBN : 9781107074293

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Experimental Design for Laboratory Biologists by Stanley E. Lazic Pdf

A guide to designing lab-based biological experiments that have low bias, high precision and widely applicable results.

Experimental Design in Biotechnology

Perry D. Haaland
Experimental Design in Biotechnology Book PDF

Author : Perry D. Haaland
Publisher : CRC Press
Page : 284 pages
File Size : 43,9 Mb
Release : 2020-11-25
Category : Mathematics
ISBN : 9781000103700

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Experimental Design in Biotechnology by Perry D. Haaland Pdf

This book provides the first time user of statistics with an understanding of how and why statistical experimental design and analysis can be an effective problem solving tool. It presents experimental designs which are useful for small screening and response surface experiments.

Statistical Analysis of Designed Experiments

Helge Toutenburg
Statistical Analysis of Designed Experiments Book PDF

Author : Helge Toutenburg
Publisher : Springer Science & Business Media
Page : 507 pages
File Size : 49,8 Mb
Release : 2002
Category : Mathematics
ISBN : 9780387987897

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Statistical Analysis of Designed Experiments by Helge Toutenburg Pdf

This book presents the design and analysis of experiments that comprises the aspects of classical theory for continuous response and of modern procedures for categorical response. This second edition contains more examples and graphical illustrations. Several chapters have been expanded and more emphasis has been placed on explaining and justifying some approaches. This volume will be an important reference for statistical researchers in the pharmaceutical industry and clinical research in medicine.

Understanding Statistics and Experimental Design

Michael H. Herzog,Gregory Francis,Aaron Clarke
Understanding Statistics and Experimental Design Book PDF

Author : Michael H. Herzog,Gregory Francis,Aaron Clarke
Publisher : Springer
Page : 146 pages
File Size : 54,6 Mb
Release : 2019-08-13
Category : Science
ISBN : 9783030034993

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Understanding Statistics and Experimental Design by Michael H. Herzog,Gregory Francis,Aaron Clarke Pdf

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.

Design and Analysis of Experiments with R

John Lawson
Design and Analysis of Experiments with R Book PDF

Author : John Lawson
Publisher : CRC Press
Page : 629 pages
File Size : 41,7 Mb
Release : 2014-12-17
Category : Mathematics
ISBN : 9781498728485

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Design and Analysis of Experiments with R by John Lawson Pdf

Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data, shows how to perform the proper analysis of the data,

Design and Analysis of Ecological Experiments

Samuel M. Scheiner,Jessica Gurevitch
Design and Analysis of Ecological Experiments Book PDF

Author : Samuel M. Scheiner,Jessica Gurevitch
Publisher : Oxford University Press
Page : 432 pages
File Size : 42,5 Mb
Release : 2001-04-26
Category : Science
ISBN : 9780198030225

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Design and Analysis of Ecological Experiments by Samuel M. Scheiner,Jessica Gurevitch Pdf

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.

Sequential Data in Biological Experiments

Ellis A. Roberts
Sequential Data in Biological Experiments Book PDF

Author : Ellis A. Roberts
Publisher : Springer Science & Business Media
Page : 250 pages
File Size : 55,6 Mb
Release : 2012-12-06
Category : Science
ISBN : 9789401131209

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Sequential Data in Biological Experiments by Ellis A. Roberts Pdf

There are many excellent books on general statistical methods in agricul tural and biological research. These books cover a broad range of methods without going into detail on specialized topics. A number of topics including regression analysis, design of experiments, biological assay and categorical analysis have received in-depth treatment in specialized texts. Little appears in standard textbooks on experiments in which observations form sequences. The live weights of animals during a long-term experiment provide a familiar example of data forming a sequence, but many others occur: for example, moisture content of segments of soil cores, successive counts of insects in an orchard and hormone levels in blood over a period. Correla tions are likely to be found among the observations in all these examples. The book by Goldstein (1979) provided the first systematic coverage of the principles involved in longitudinal studies, but is mainly concerned with observational studies on humans. The main aims of this book are to provide research workers with methods of analysing data from comparative experiments with sequential obser vations and to demonstrate special features of the design of such experi ments. These aims are achieved by working through sets of data.

Design and Analysis of Experiments, Volume 1

Klaus Hinkelmann,Oscar Kempthorne
Design and Analysis of Experiments Volume 1 Book PDF

Author : Klaus Hinkelmann,Oscar Kempthorne
Publisher : John Wiley & Sons
Page : 640 pages
File Size : 50,5 Mb
Release : 2007-12-04
Category : Mathematics
ISBN : 9780470191743

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Design and Analysis of Experiments, Volume 1 by Klaus Hinkelmann,Oscar Kempthorne Pdf

This user-friendly new edition reflects a modern and accessible approach to experimental design and analysis Design and Analysis of Experiments, Volume 1, Second Edition provides a general introduction to the philosophy, theory, and practice of designing scientific comparative experiments and also details the intricacies that are often encountered throughout the design and analysis processes. With the addition of extensive numerical examples and expanded treatment of key concepts, this book further addresses the needs of practitioners and successfully provides a solid understanding of the relationship between the quality of experimental design and the validity of conclusions. This Second Edition continues to provide the theoretical basis of the principles of experimental design in conjunction with the statistical framework within which to apply the fundamental concepts. The difference between experimental studies and observational studies is addressed, along with a discussion of the various components of experimental design: the error-control design, the treatment design, and the observation design. A series of error-control designs are presented based on fundamental design principles, such as randomization, local control (blocking), the Latin square principle, the split-unit principle, and the notion of factorial treatment structure. This book also emphasizes the practical aspects of designing and analyzing experiments and features: Increased coverage of the practical aspects of designing and analyzing experiments, complete with the steps needed to plan and construct an experiment A case study that explores the various types of interaction between both treatment and blocking factors, and numerical and graphical techniques are provided to analyze and interpret these interactions Discussion of the important distinctions between two types of blocking factors and their role in the process of drawing statistical inferences from an experiment A new chapter devoted entirely to repeated measures, highlighting its relationship to split-plot and split-block designs Numerical examples using SAS® to illustrate the analyses of data from various designs and to construct factorial designs that relate the results to the theoretical derivations Design and Analysis of Experiments, Volume 1, Second Edition is an ideal textbook for first-year graduate courses in experimental design and also serves as a practical, hands-on reference for statisticians and researchers across a wide array of subject areas, including biological sciences, engineering, medicine, pharmacology, psychology, and business.

The Design and Analysis of Research Studies

Bryan F. J. Manly
The Design and Analysis of Research Studies Book PDF

Author : Bryan F. J. Manly
Publisher : Cambridge University Press
Page : 376 pages
File Size : 47,5 Mb
Release : 1992-05-14
Category : Education
ISBN : 0521425808

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The Design and Analysis of Research Studies by Bryan F. J. Manly Pdf

This book provides graduate students and research workers in the biological, medical and social sciences with the statistical background needed to collect and analyse data in an intelligent and critical manner.

Statistical Principles for the Design of Experiments

R. Mead,S. G. Gilmour,A. Mead
Statistical Principles for the Design of Experiments Book PDF

Author : R. Mead,S. G. Gilmour,A. Mead
Publisher : Cambridge University Press
Page : 128 pages
File Size : 54,5 Mb
Release : 2012-09-13
Category : Mathematics
ISBN : 9781139576642

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Statistical Principles for the Design of Experiments by R. Mead,S. G. Gilmour,A. Mead Pdf

This book is about the statistical principles behind the design of effective experiments and focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis. Emphasising the logical principles of statistical design, rather than mathematical calculation, the authors demonstrate how all available information can be used to extract the clearest answers to many questions. The principles are illustrated with a wide range of examples drawn from real experiments in medicine, industry, agriculture and many experimental disciplines. Numerous exercises are given to help the reader practise techniques and to appreciate the difference that good design can make to an experimental research project. Based on Roger Mead's excellent Design of Experiments, this new edition is thoroughly revised and updated to include modern methods relevant to applications in industry, engineering and modern biology. It also contains seven new chapters on contemporary topics, including restricted randomisation and fractional replication.