This second edition incorporates a new chapter on applications, new problem sets for each chapter, and a thorough updating on all topics to constitute an even more valuable reference. In addition to meeting the demand for a rigorous theoretical discussion of this increasingly important area of mathematics for research, engineering, electronics, and all kinds of economic and population studies, the book offers numerous relevant examples worked-out in detail and extensive new coverage of engineering and science applications, nonlinear difference equations, and leading-edge techniques.

Computer-Aided Multivariate Analysis, Fourth Edition (Chapman & Hall/CRC Texts in Statistical Science)

Science & Math

Clark, Virginia A.

Afifi, Abdelmonem

Mathematics

Chapman and Hall/CRC

New Edition of a Classic Guide to Statistical Applications in the Biomedical Sciences In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research. Addressing the need for a modernized treatment of these statistical applications, Basic Statistics, Fourth Edition presents relevant, up-to-date coverage of research methodology using careful explanations of basic statistics and how they are used to address practical problems that arise in the medical and public health settings. Through concise and easy-to-follow presentations, readers will learn to interpret and examine data by applying common statistical tools, such as sampling, random assignment, and survival analysis. Continuing the tradition of its predecessor, this new edition outlines a thorough discussion of different kinds of studies and guides readers through the important, related decision-making processes such as determining what information is needed and planning the collections process. The book equips readers with the knowledge to carry out these practices by explaining the various types of studies that are commonly conducted in the fields of medical and public health, and how the level of evidence varies depending on the area of research. Data screening and data entry into statistical programs is explained and accompanied by illustrations of statistical analyses and graphs. Additional features of the Fourth Edition include: <ul>
<li>A new chapter on data collection that outlines the initial steps in planning biomedical and public health studies</li> <li>A new chapter on nonparametric statistics that includes a discussion and application of the Sign test, the Wilcoxon Signed Rank test, and the Wilcoxon Rank Sum test and its relationship to the Mann-Whitney U test</li> <li>An updated introduction to survival analysis that includes the Kaplan Meier method for graphing the survival function and a brief introduction to tests for comparing survival functions</li> <li>Incorporation of modern statistical software, such as SAS, Stata, SPSS, and Minitab into the presented discussion of data analysis</li> <li>Updated references at the end of each chapter</li> </ul>
Basic Statistics, Fourth Edition is an ideal book for courses on biostatistics, medicine, and public health at the upper-undergraduate and graduate levels. It is also appropriate as a reference for researchers and practitioners who would like to refresh their fundamental understanding of statistical techniques.

Basic Statistics: A Primer for the Biomedical Sciences

Dunn, Olive Jean

Biological Sciences

wiley

This set contains: 9780471469438 Regression and ANOVA: An Integrated Approach Using SAS(R) Software by Keith E. Muller, Bethel A. Fetterman and 9780471370383 Applied Statistics: Analysis of Variance and Regression, Third Edition by Ruth M. Mickey, Olive Jean Dunn, Virginia A. Clark.

Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

Muller, Keith E.

Fetterman, Bethel A.

Mickey, Ruth M.

Wiley-Interscience

An introduction to the use of statistics in biomedical research-now fully updated for the information age Since the second edition of Basic Statistics was published more than two decades ago, there have been significant changes in the way statistics is applied in the biomedical fields. To provide relevant, up-to-date coverage of biostatistics for professionals in public health, medicine, and other biomedical fields, this popular primer is now thoroughly revised. The new edition emphasizes biomedical research methodology and clearly explains the design, graphical methods, and exploratory data analysis as used in contemporary studies. Through short, concise, nontechnical presentations (high-school algebra is the only requirement!), readers will learn to interpret and examine data from biomedical studies and apply such tools as sampling, random assignment, and biostatistical analyses in their own research. Basic Statistics, Third Edition: * Describes major types of biomedical studies and how to design them * Discusses the samples used in different types of biomedical studies * Emphasizes the use of confidence intervals in data analysis * Offers a new introduction to survival analysis, including clinical life tables * Substantiates with examples some of the major statistical theorems * Adds new graphs, figures, problem sets, and bibliographic references * Discusses using statistical computer programs in data analysis

Applied Statistics: Analysis of Variance and Regression

This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student. * Rewritten to maintain clarity and brevity while expanding the coverage of previous editions. * Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout. * Includes both graded and challenging exercises. * Liberal computer discussions now supplemented with SAS and SPSS.

A self-contained, comprehensive treatment of variance and regression analysis suitable for students and researchers who may not have a calculus background. Models, tests, assumptions and confidence intervals allow readers to locate the material, know when to do the analysis, and correctly interpret results. New information in this edition, not found in other texts at this level, includes discussions of widely used computer program to perform the analysis, and a new chapter on repeated measures designs.

Applied Statistics: Analysis of Variance and Regression, 2nd Edition

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. 
Key Features:\nProvides a comprehensive, practical and accessible introduction to multivariate analysis.\nKeeps mathematical details to a minimum, so particularly geared toward a non-statistical audience.\nIncludes lots of detailed worked examples, guidance on computing, and exercises.\nUpdated with a new chapter on data visualization.

May, Susanne

Donatello, Robin

Reference

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. 
Key Features: <ul>
<li>Provides a comprehensive, practical and accessible introduction to multivariate analysis. </li> <li>Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. </li> <li>Includes lots of detailed worked examples, guidance on computing, and exercises. </li> <li>Updated with a new chapter on data visualization.</li> </ul>

This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition shows readers how to perform multivariate statistical analyses and understand the results. For each of the techniques presented in this edition, the authors use the most recent software versions available and discuss the most modern ways of performing the analysis. New to the Fifth Edition <ul>
<li>Chapter on regression of correlated outcomes resulting from clustered or longitudinal samples</li> <li>Reorganization of the chapter on data analysis preparation to reflect current software packages</li> <li>Use of R statistical software</li> <li>Updated and reorganized references and summary tables</li> <li>Additional end-of-chapter problems and data sets</li> </ul> The first part of the book provides examples of studies requiring multivariate analysis techniques; discusses characterizing data for analysis, computer programs, data entry, data management, data clean-up, missing values, and transformations; and presents a rough guide to assist in choosing the appropriate multivariate analysis. The second part examines outliers and diagnostics in simple linear regression and looks at how multiple linear regression is employed in practice and as a foundation for understanding a variety of concepts. The final part deals with the core of multivariate analysis, covering canonical correlation, discriminant, logistic regression, survival, principal components, factor, cluster, and log-linear analyses. While the text focuses on the use of R, S-PLUS, SAS, SPSS, Stata, and STATISTICA, other software packages can also be used since the output of most standard statistical programs is explained. Data sets and code are available for download from the book’s web page and CRC Press Online.

Computer-Aided Multivariate Analysis, Fourth Edition enables researchers and students with limited mathematical backgrounds to understand the concepts underlying multivariate statistical analysis, perform analysis using statistical packages, and understand the output. New topics include Loess and Poisson regression, nominal and ordinal logistic regression, interpretation of interactions in logistic and survival analysis, and imputation for missing values. This book includes new exercises and references, and updated options in the latest versions of the statistical packages. All data sets and codebooks are available for download. The authors explain the assumptions made in performing each analysis and test, how to determine if your data meets those assumptions, and what to do if they do not. What to Watch out for sections in each chapter warn of common difficulties. By reading this text, you will know what method to use with your data set, how to get the results, and how to interpret them and explain them to others. New in the Fourth Edition: <ul>
<li>Expanded explanation of checking for goodness of fit in logistic regression and survival analysis</li> <li>Kaplan-Meier estimates of survival curves, formal tests for comparing survival between groups, interactions and the use of time-dependent covariates in survival analysis</li> <li>Expanded discussion of how to handle missing values</li> <li>Latest features of the S-PLUS package in addition to SAS, SPSS, STATA, and STATISTICA for multivariate analysis</li> <li>Data sets for the problems are available at the CRC web site: http://www.crcpress.com/product/isbn/9781584883081</li> <li>Commands and output for examples used in the text for each statistical package are available at the UCLA web site: http://www.ats.ucla.edu/stat/examples/cama4/</li>
</ul>

See the best price to sell, buy, or rent books by Clark, Virginia A.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Clark, Virginia A.

See the best price to sell, buy, or rent books by Clark, Virginia A.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Computer-Aided Multivariate Analysis, Fourth Edition (Chapman & Hall/CRC Texts in Statistical Science)

Basic Statistics: A Primer for the Biomedical Sciences

Regression and ANOVA: An Integrated Approach Using SAS Software + Applied Statistics: Analysis of Variance and Regression, Third Edition Set

Basic Statistics: A Primer for the Biomedical Sciences

Applied Statistics: Analysis of Variance and Regression

Applied Statistics: Analysis of Variance and Regression, 2nd Edition

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Practical Multivariate Analysis (Chapman & Hall/CRC Texts in Statistical Science)

Computer-Aided Multivariate Analysis, Fourth Edition (Chapman & Hall/CRC Texts in Statistical Science)