Author: David Heath
Publisher: CRC Press
ISBN: 9780203499245
Category : Mathematics
Languages : en
Pages : 390
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 w
An Introduction To Experimental Design And Statistics For Biology
Author: David Heath
Publisher: CRC Press
ISBN: 9780203499245
Category : Mathematics
Languages : en
Pages : 390
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 w
Publisher: CRC Press
ISBN: 9780203499245
Category : Mathematics
Languages : en
Pages : 390
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 w
An Introduction To Experimental Design And Statistics For Biology
Author: David Heath
Publisher: CRC Press
ISBN: 9781135370107
Category : Mathematics
Languages : en
Pages : 384
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.
Publisher: CRC Press
ISBN: 9781135370107
Category : Mathematics
Languages : en
Pages : 384
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.
Experimental Design and Data Analysis for Biologists
Author: Gerald Peter Quinn
Publisher: Cambridge University Press
ISBN: 9780521009768
Category : Mathematics
Languages : en
Pages : 560
Book Description
Regression, analysis of variance, correlation, graphical.
Publisher: Cambridge University Press
ISBN: 9780521009768
Category : Mathematics
Languages : en
Pages : 560
Book Description
Regression, analysis of variance, correlation, graphical.
Experimental Design for Laboratory Biologists
Author: Stanley E. Lazic
Publisher: Cambridge University Press
ISBN: 1316810674
Category : Medical
Languages : en
Pages : 429
Book Description
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.
Publisher: Cambridge University Press
ISBN: 1316810674
Category : Medical
Languages : en
Pages : 429
Book Description
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.
Understanding Statistics and Experimental Design
Author: Michael H. Herzog
Publisher: Springer
ISBN: 3030034992
Category : Science
Languages : en
Pages : 146
Book Description
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.
Publisher: Springer
ISBN: 3030034992
Category : Science
Languages : en
Pages : 146
Book Description
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, Volume 1
Author: Klaus Hinkelmann
Publisher: John Wiley & Sons
ISBN: 0470191740
Category : Mathematics
Languages : en
Pages : 640
Book Description
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 SASĀ® 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.
Publisher: John Wiley & Sons
ISBN: 0470191740
Category : Mathematics
Languages : en
Pages : 640
Book Description
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 SASĀ® 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.
Biostatistics
Author: Professor of Physiology and Biophysics James F Zolman
Publisher: Oxford University Press on Demand
ISBN: 9780195078107
Category : Medical
Languages : en
Pages : 343
Book Description
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.
Publisher: Oxford University Press on Demand
ISBN: 9780195078107
Category : Medical
Languages : en
Pages : 343
Book Description
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.
Design and Analysis of Experiments, Introduction to Experimental Design
Author: Klaus Hinkelmann
Publisher: John Wiley & Sons
ISBN: 9780471551782
Category : Mathematics
Languages : en
Pages : 528
Book Description
Design and analysis of experiments/Hinkelmann.-v.1.
Publisher: John Wiley & Sons
ISBN: 9780471551782
Category : Mathematics
Languages : en
Pages : 528
Book Description
Design and analysis of experiments/Hinkelmann.-v.1.
Statistics and Experimental Design
Author: Geoffrey Mallin Clarke
Publisher:
ISBN: 9780713122428
Category : Biometry
Languages : en
Pages : 161
Book Description
Publisher:
ISBN: 9780713122428
Category : Biometry
Languages : en
Pages : 161
Book Description
Statistical Methods in Biology
Author: S.J. Welham
Publisher: CRC Press
ISBN: 1439898057
Category : Mathematics
Languages : en
Pages : 592
Book Description
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 scien
Publisher: CRC Press
ISBN: 1439898057
Category : Mathematics
Languages : en
Pages : 592
Book Description
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 scien