Book Description

Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures,and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of S-PLUS now makes this book even more suitable for inexperienced users, students, and anyone without the time, patience, or background needed to wade through the many more advanced manuals and texts on the market.The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique, applies it to one or more data sets, and shows how to generate the proposed analyses and graphics using S-PLUS. The author explains S-PLUS functions from both the Windows® and command-line perspectives and clearly demonstrates how to switch between the two. This handbook provides the perfect vehicle for introducing the exciting possibilities S-PLUS, S-PLUS 2000, and S-PLUS 6 hold for data analysis. ... Read more

Book Description

This book is the first to address both the theoretical and practical issues which arise when describing the geographical distribution of disease and investigating apparent disease clusters. Requirements in terms of population data, disease incidence and mortality are considered and related to the scale at which a study is being carried out. Statistical methods are reviewed for large scale correlation studies, intermediate scale smoothing exercises, and small scale clustering investigations, and the problems of interpretation are discussed. Problems of measuring environmental exposures at different scales are also reviewed. These issues are then related to current practice via a comprehensive set of case studies which include a large correlation study in China, clustering of asthma attacks, the Sellafield-leukemia cluster, environmental clusters of mesothelioma in Turkey, the investigation of disease following the industrial accident at Sevesco, and a multi-source study of cancer incidence around incinerators. ... Read more

Book Description

The Biostatistics course is often found in the schools of public Health, medical schools, and, occasionally, in statistics and biology departments.
The population of students in these courses is a diverse one, with varying preparedness.The book assumes the reader has at least two years of high school algebra, but no previous exposure to statistics is required.
Written for individuals who might be fearful of mathematics, this book minimizes the technical difficulties and emphasizes the importance of statistics in scientific investigation.An understanding of underlying design and analysis is stressed. The limitations of the research, design and analytical techniques are discussed, allowing the reader to accurately interpret results. Real data, both processed and raw, are used extensively in examples and exercises.Statistical computing packages - MINITAB, SAS and Stata - are integrated.The use of the computer and software allows a sharper focus on the concepts, letting the computer do the necessary number-crunching.

* Emphasizes underlying statistical concepts more than competing texts
* Focuses on experimental design and analysis, at an elementary level
* Includes an introduction to linear correlation and regression
* Statistics are central: probability is downplayed
* Presents life tables and survival analysis
* Appendix with solutions to many exercises
* Special instructor's manual with solution to all exercises ... Read more

Book Description

This book serves as a primary text for students of pharmacology, toxicology, and biology, and as a practical handbook to support the daily operations of the toxicology laboratory and researcher. This edition retains the structure of earlier editions, but has been extensively revised to provide both the student and the working toxicologist with the necessary tools for the rigorous and critical design of studies and analysis of experimental data. Assuming only basic mathematical skills as a starting point, Statistics and Experimental Design for Toxicologists provides a thorough and exhaustive introduction to the statistical methods available to and used in the discipline. A worked, practical example from the field is provided for each technique presented.Written from a toxicologist's perspective, this book provides both the methodological tools necessary to analyze experimental toxicology data and the insight to know when to use them. ... Read more

Reviews (2)

Fix the mistakes
While this book is a good attempt at placing statistical topics necessary to toxicology in one spot, the mistakes are inexcusable. Many formula are incorrect as well as text referring to the wrong tables or data. Therefore, one begins to lose trust in the information presented. Be careful if you use this book!

Recommended for both student and practicing toxicologists
The third edition has a larger scope and is a useful upgrade from the previous edition. Beginning with descriptive statistics and using examples drawn from toxicology studies, the book covers issues and methods for inferential statistics in toxicology at an accessable level. Meta-analysis, assessment of carcinogenicity, risk assessment, and quantitative structure-activity relationships are all addressed.

A strength of the book is that the interpretation of the statistics in biological context is emphasized. The biological interpretation is an example of the author leading us to follow the advice of R.W. Hamming who suggested that the purpose of computation is insight, not numbers.

The third edition achieves its goal of being useful as a textbook for students and a source for practicing toxicologists. ... Read more

Book Description

The volume presents a broad spectrum of papers which illustrates a range of current research related to the theory, methods and applications of health related quality of life (HRQoL) as well as the interdisciplinary nature of this work. ... Read more

Book Description

Balancing the "cookbook" approach of some texts with the more mathematical approach of others, Nonparametric Statistical Methods for Complete and Censored Data introduces commonly used non-parametric methods for complete data and extends those methods to right censored data analysis. Whenever possible, the authors derive their methodology from the general theory of statistical inference and introduce the concepts intuitively for students with minimal backgrounds. Derivations and mathematical details are relegated to appendices at the end of each chapter, which allows students to easily proceed through each chapter without becoming bogged down in a lot of mathematics.In addition to the nonparametric methods for analyzing complete and censored data, the book covers optimal linear rank statistics, clinical equivalence, analysis of block designs, and precedence tests. To make the material more accessible and practical, the authors use SAS programs to illustrate the various methods included. These programs are provided both in the book and on the CRC Web site. Exercises in each chapter, SAS code, and a clear, accessible presentation make this an outstanding text for a one-semester senior or graduate- level course in nonparametric statistics for students in a variety of disciplines, from statistics and biostatistics to business, psychology, and the social scientists.Prerequisites: Students will need a solid background in calculus and a two-semester course in mathematical statistics. ... Read more

Book Description

The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.
* Organized by problem rather than method, so it guides readers to the correct technique for solving the problem at hand. ... Read more

Reviews (1)

nice reference for biostatisticians & medical professionals
This is the second edition of a highly acclaimed text. Like the first edition this book gives an excellent overview of statistical problems in the medical field and provides illustrations of a variety of parametric and nonparametric statistical techniques for solving these problems. It is aimed at the intermediate level rather than as an introductory course. So medical professionals, with a first course in biostatistics under their belt, will find this useful. It is also a good text for graduate students in statistics or biostatistics. Examples are illustrated throughout the text using SAS software. This is a key addition to this edition of the book. Also added in this edition is a chapter on multiple regression where various model selection procedures are nicely covered.

A nice feature of the book is its coverage of epidemiologic methods and data. This was also a strength of the first edition.

I was a little disappointed that the authors did not take the opportunity to significantly update the bibliography. Only a few references are given in the latter chapters to books and articles that appeared after the publication of the first edition in 1987. Also, the authors missed an opportunity to discuss the advances in computing that have led to new methods including Markov Chain Monte Carlo and resampling, both of which have found many applciations in medical research. Bioinformatics and advances in genetics are also playing a major role in medical research, having blossomed since the publication of the first edition of the book. Although I would not expect these topics to necessarily get much coverage, I think they are important enough to at least be mentioned and discussed and have key articles and books referenced.

This is an excellent text for a second course in biostatistics for health care professionals. For a first course the book I am writing with Bob Friis will be useful and it is up to date and even provides some coverage of resampling methods. It will be published by Wiley in early 2003. ... Read more