Design and Analysis of Experiments in the Health Sciences

Design and Analysis of Experiments in the Health Sciences
Author: Gerald van Belle
Publisher: John Wiley & Sons
Total Pages: 256
Release: 2012-07-24
Genre: Mathematics
ISBN: 0470127279

An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomized clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures: Completely randomized designs Randomized block designs Factorial designs Multilevel experiments Repeated measures designs A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics. Requiring only a basic background in statistics, Design and Analysis of Experiments in the Health Sciences is an excellent book for introductory courses on experimental design and analysis at the graduate level. The book also serves as a valuable resource for researchers in medicine, dentistry, nursing, epidemiology, statistical genetics, and public health.

Design and Analysis of Experiments in the Health Sciences

Design and Analysis of Experiments in the Health Sciences
Author: Gerald van Belle
Publisher: John Wiley & Sons
Total Pages: 256
Release: 2012-06-07
Genre: Mathematics
ISBN: 1118279719

An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomized clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures: Completely randomized designs Randomized block designs Factorial designs Multilevel experiments Repeated measures designs A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics. Requiring only a basic background in statistics, Design and Analysis of Experiments in the Health Sciences is an excellent book for introductory courses on experimental design and analysis at the graduate level. The book also serves as a valuable resource for researchers in medicine, dentistry, nursing, epidemiology, statistical genetics, and public health.

Design and Analysis of Experiments

Design and Analysis of Experiments
Author: Douglas C. Montgomery
Publisher: Wiley
Total Pages: 0
Release: 2005
Genre: Experimental design
ISBN: 9780471661597

This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

Design and Analysis of Experiments with R

Design and Analysis of Experiments with R
Author: John Lawson
Publisher: CRC Press
Total Pages: 629
Release: 2014-12-17
Genre: Mathematics
ISBN: 1498728480

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 Time Series Experiments

Design and Analysis of Time Series Experiments
Author: Richard McCleary
Publisher: Oxford University Press
Total Pages: 393
Release: 2017
Genre: Business & Economics
ISBN: 0190661569

Design and Analysis of Time Series Experiments develops methods and models for analysis and interpretation of time series experiments while also addressing recent developments in causal modeling. Unlike other time series texts, it integrates the statistical issues of design, estimation, and interpretation with foundational validity issues. Drawing on examples from criminology, economics, education, pharmacology, public policy, program evaluation, public health, and psychology, this text addresses researchers and graduate students in a wide range of the behavioral, biomedical, and social sciences.

Statistical Analysis of Designed Experiments

Statistical Analysis of Designed Experiments
Author: Helge Toutenburg
Publisher: Springer Science & Business Media
Total Pages: 507
Release: 2006-05-09
Genre: Mathematics
ISBN: 0387227725

Unique in commencing with relatively simple statistical concepts and ideas found in most introductory statistical textbooks, this book goes on to cover more material useful for undergraduates and graduate in statistics and biostatistics.

Quasi-Experimentation

Quasi-Experimentation
Author: Charles S. Reichardt
Publisher: Guilford Publications
Total Pages: 382
Release: 2019-09-02
Genre: Business & Economics
ISBN: 1462540201

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility.

Statistical Design and Analysis of Biological Experiments

Statistical Design and Analysis of Biological Experiments
Author: Hans-Michael Kaltenbach
Publisher: Springer Nature
Total Pages: 281
Release: 2021-04-15
Genre: Mathematics
ISBN: 3030696413

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.

Handbook of Design and Analysis of Experiments

Handbook of Design and Analysis of Experiments
Author: Angela Dean
Publisher: CRC Press
Total Pages: 946
Release: 2015-06-26
Genre: Mathematics
ISBN: 146650434X

This carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.

Experimental Design and Analysis in Animal Sciences

Experimental Design and Analysis in Animal Sciences
Author: Trevor Raymond Morris
Publisher: Cabi
Total Pages: 226
Release: 1999
Genre: Medical
ISBN:

Experimental Design and Analysis in Animals Sciences is the first book to provide detailed instructions on the design and analysis of experiments in animals sciences. Not only does it provide descriptions of the statistics of experiment design, this guide-book contains examples and suggestions that help students in their decisions on which tools are appropriate for each circumstance. The subjects covered include interpretation of dose-response experiments, change-over designs, experiments with animals in pens and paddocks, and balanced and unbalanced designs. This book will be indispensable for any graduate or advanced undergraduate student in the animal sciences.