WorldCat Identities

Everitt, Brian

Works: 128 works in 1,209 publications in 3 languages and 33,293 library holdings
Genres: Dictionaries  Handbooks and manuals  Reference works  Methods (Music) 
Roles: Author, Editor, Other, Publishing director
Publication Timeline
Most widely held works by Brian Everitt
The Cambridge Dictionary of Statistics by Brian Everitt( )

64 editions published between 1998 and 2010 in English and held by 4,961 WorldCat member libraries worldwide

"If you use statistics and need a useful, up-to-date and reliable sourcebook that provides simple definitions and explanations of statistical concepts, then you will need this dictionary. Some 3000 terms are defined in all areas of statistics, including medical, survey, theoretical, applied, and so on. In addition short biographies are given of over 100 important statisticians. The majority of definitions include a reference to a book or article where the reader can seek an extended account of a term if required. Many of the definitions are accompanied by graphical material to aid understanding. The book is a 50% expansion of Everitt's earlier successful dictionary."--Jacket
Statistical aspects of the design and analysis of clinical trials by Brian Everitt( )

28 editions published between 1999 and 2007 in English and Undetermined and held by 3,136 WorldCat member libraries worldwide

About 8000 clinical trials are undertaken annually in all areas of medicine, from the treatment of acne to the prevention of cancer. Correct interpretation of the data from such trials depends largely on adequate design and on performing the appropriate statistical analyses. In this book, the statistical aspects of both the design and analysis of trials are described, with particular emphasis on recently developed methods of analysis
Clinical trials in psychiatry by Brian Everitt( )

21 editions published between 2003 and 2008 in English and Undetermined and held by 2,846 WorldCat member libraries worldwide

Mental health problems account for a quarter of all physician consultations, and place an enormous financial burden on society. For this reason, the search for effective treatments in psychiatry continues apace. But as they are developed, it is essential that we have effective and rigorous methods of assessing the benefits and safety of new treatments. The randomised-controlled trial (RCT) is accepted as being the best method for doing this. In order to understand what does and; does not work, mental health professionals' needs to understand how treatments have been assessed and evaluated.; Clinical Trials in Psychiatry is the first book to explain RCTs for mental health professionals. It starts by discussing why we need trials and why they are the best way of deciding if a treatment works. It then describes the different types of trial, how to analyse the results, and how to conduct a trial.; For anyone working in the mental health field, this book will be an essential source of reference, allowing them to make informed decisions about treatment
A handbook of statistical analyses using R by S Rabe-Hesketh( Book )

135 editions published between 1998 and 2017 in English and Undetermined and held by 2,501 WorldCat member libraries worldwide

This book presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive
Cluster analysis by Brian Everitt( Book )

74 editions published between 1974 and 2013 in English and Undetermined and held by 1,734 WorldCat member libraries worldwide

"This edition provides a thorough revision of the fourth edition which focuses on the practical aspects of cluster analysis and covers new methodology in terms of longitudinal data and provides examples from bioinformatics. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. This book includes an appendix of getting started on cluster analysis using R, as well as a comprehensive and up-to-date bibliography."--
Chance rules : an informal guide to probability, risk, and statistics by Brian Everitt( )

36 editions published between 1999 and 2012 in English and Undetermined and held by 1,518 WorldCat member libraries worldwide

"Chance Rules tells the story of our appreciation of chance through history and the various ways it impacts our lives. You will read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantum theory researcher trying to integrate aspects of probability into their chosen specialty. Along the way, the author uses many interesting examples to illustrate various aspects of chance, such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babies, DNA profiling, health risks, clinical trials, and alternative therapies."--Jacket
Applied multivariate data analysis by Brian Everitt( Book )

49 editions published between 1900 and 2012 in English and Undetermined and held by 1,038 WorldCat member libraries worldwide

"This intermediate-level textbook introduces the reader to the variety of methods by which multivariate statistical analysis may be undertaken. Now in its second edition, Applied Multivariate Data Analysis has been fully expanded and updated, including major chapter revisions as well as new sections on neural networks and random effects models for longitudinal data. Maintaining the easy-going style of the first edition, this title provides clear explanations of each technique, supported by figures and examples, using minimal technical jargon. With extensive exercises following every chapter, the book is a valuable resource for students on applied statistics courses and for applied researchers in many disciplines."--Jacket
The analysis of contingency tables by Brian Everitt( Book )

48 editions published between 1977 and 2001 in English and held by 1,034 WorldCat member libraries worldwide

"Much of the data collected in medicine and the social sciences is categorical, for example, sex, marital status, blood group, whether a smoker or not and so on, rather than interval-scaled. Frequently the researcher collecting such data is interested in the relationships or associations between pairs, or between a set of such categorical variables; often the data is displayed in the form of a contingency table for example, smoker versus non-smoker against death from lung cancer or death from some other cause. This text gives a comprehensive account of the analysis of such tables, written at a level suitable for the applied researcher. The first edition of "The Analysis of Contingency Tables" arose from Professor A.E. Maxwell's earlier text, "Analysing Qualitative Data". In this new edition, more material is included that those methods which have developed over the last decade or so, for example, logistic regression models for tables with ordered categories and for response variables with more than two categories. A brief account is given of the increasingly important technique, correspondence analysis. The methods of analysis described in this book should be relevant to research workers and graduate students dealing with data from surveys, particularly in the area of psychiatry, social sciences and psychology."--Provided by publisher
Statistics for psychologists : an intermediate course by Brian Everitt( )

13 editions published between 2001 and 2014 in English and held by 1,009 WorldCat member libraries worldwide

This guide includes information on various topics, including: the analysis of longitudinal data; analyzing categorical data; linear regression and multiple regression, log-linear models and logistic regression; and repeated measure designs
Basic statistics using SAS Enterprise guide : a primer by Geoff Der( )

5 editions published in 2007 in English and held by 1,000 WorldCat member libraries worldwide

This guide is an excellent introduction to SAS Enterprise Guide for users new to Enterprise Guide, new to statistics, or both. A user stepping through all the examples in this book would end up being exposed to many different types of data and a variety of commonly-used statistical techniques, from t-tests and Fisher's Exact Test to logistic regression and survival analysis. Throughout, the emphasis is on good statistical practices - looking at the data, thinking about what questions to ask about the data, and then using statistical methods to address those questions. The examples provide excellent illustrations of how to use Enterprise Guide to accomplish these tasks at just the right level of detail, and it is obvious from the context how to extend the examples to more complex situations. This book is recommended for anyone who wants to learn the basics of SAS Enterprise Guide for statistical analysis
A handbook of statistical analyses using SAS by Geoff Der( Book )

60 editions published between 1996 and 2010 in English and Japanese and held by 990 WorldCat member libraries worldwide

Fully revised to reflect SAS Version 8.1, this volulme gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following: Data description and simple inference for categorical variables; Generalized linear models; and Longitudinal data. Two new chapters discuss simple approaches, graphs, summary measure, and random effect models
An R and S-PLUS companion to multivariate analysis by Brian Everitt( )

34 editions published between 2004 and 2011 in English and held by 751 WorldCat member libraries worldwide

"In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at" "Graduate students and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work."--Jacket
Medical statistics from A to Z : a guide for clinicians and medical students by Brian Everitt( Book )

25 editions published between 2003 and 2009 in English and Chinese and held by 628 WorldCat member libraries worldwide

"From 'absolute risk' to 'zero-sum game', this accessible introduction to the terminology of medical statistics encompasses more than 1500 terms all clearly explained, illustrated and defined in non-technical language, and without any mathematical formulae. This user-friendly approach will enable doctors and medical students to grasp quickly the meaning of any of the statistical terms they encounter when reading the medical literature. Furthermore, annotated comments are used judiciously to warn the unwary of some of the common pitfalls that accompany some cherished biomedical statistical techniques. Wherever possible, the definitions are supplemented with a reference to further reading where the reader may gain a deeper insight, so whilst the definitions are easily digestible, they also provide a stepping stone to a more sophisticated comprehension. -- Cover
An introduction to applied multivariate analysis with R by Brian Everitt( )

20 editions published in 2011 in English and held by 572 WorldCat member libraries worldwide

"The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data."--Publisher's description
Essential statistics using SAS university edition by Geoff Der( )

10 editions published between 2015 and 2016 in English and held by 565 WorldCat member libraries worldwide

"Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression."--
A handbook of statistical analyses using S-PLUS by Brian Everitt( Book )

39 editions published between 1994 and 2002 in English and held by 488 WorldCat member libraries worldwide

Finite mixture distributions by Brian Everitt( Book )

11 editions published in 1981 in English and Undetermined and held by 462 WorldCat member libraries worldwide

General introduction; Mixtures of normal distributions; Mixtures of exponential and other continuous distributions; Mixtures of discrete distributions; Miscellaneous topics
An introduction to mathematical taxonomy by G Dunn( Book )

10 editions published between 1981 and 2004 in English and held by 454 WorldCat member libraries worldwide

Title Page; Copyright Page; Table of Contents; PREFACE; 1 - An introduction to the philosophy and aims of numerical taxonomy; 1.1 Introduction; 1.2 Systematics, classification and taxonomy; 1.3 The construction of taxonomic hierarchies by traditional and numerical taxonomy: comparison of methods; 1.4 The philosophy of taxonomy; 1.5 Classification and inferences concerning patterns of evolution; 1.6 Summary; 2 - Taxonomic characters; 2.1 Introduction; 2.2 Number of characters; 2.3 Type of characters and coding of character states; 2.4 Weighting of characters; 2.5 Homology of characters
Graphical techniques for multivariate data by Brian Everitt( Book )

17 editions published in 1978 in English and held by 415 WorldCat member libraries worldwide

Graphical techniques and multivariate data; Ordination techniques; The graphical display of clusters, and similarity matrices; Some miscellaneous techniques
An introduction to latent variable models by Brian Everitt( Book )

12 editions published in 1984 in English and held by 399 WorldCat member libraries worldwide

Factor analysis; The LISREL model; Latent variable models for categorical data; Some final comments
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WorldCat IdentitiesRelated Identities
The Cambridge Dictionary of Statistics
Statistical aspects of the design and analysis of clinical trialsClinical trials in psychiatryA handbook of statistical analyses using RCluster analysisChance rules : an informal guide to probability, risk, and statisticsApplied multivariate data analysisThe analysis of contingency tablesStatistics for psychologists : an intermediate course
Alternative Names
Everitt, B.

Everitt, B. 1944-

Everitt, B. S.

Everitt, B.S. 1944-

Everitt, B. S. (Brian Sidney)

Everitt, B. S. (Brian Sidney), 1944-

Everitt, Brian.

Everitt, Brian S.

Everitt, Brian S. 1944-

Everitt, Brian Sidney.

Everitt, Brian Sidney 1944-

エヴェリット, B. S.