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  • Statistics for Psychologistsby Brian S. Everitt

    Taylor and Francis 2001; US$ 54.95

    Built around a problem solving theme, this book extends the intermediate and advanced student's expertise to more challenging situations that involve applying statistical methods to real-world problems. Data relevant to these problems are collected and analyzed to provide useful answers. Building on its central problem-solving theme, a large number... more...

  • An R and S-PLUS® Companion to Multivariate Analysisby Brian S. Everitt

    Springer 2006; US$ 99.00

    Most data sets collected by researchers are multivariate, and in most cases, the variables need to be examined simultaneously to get the most informative results. This book covers the core multivariate methodology along with some basic theory for each method described. It also provides the necessary R and S-PLUS code for each analysis. more...

  • Clinical Trials in Psychiatryby Brian S. Everitt; Simon Wessely

    Wiley 2008; US$ 115.00

    At last – a new edition of the highly acclaimed book Clinical Trials in Psychiatry This book provides a concise but thorough overview of clinical trials in psychiatry, invaluable to those seeking solutions to numerous problems relating to design, methodology and analysis of such trials. Practical examples and applications are used to... more...

  • Applied Medical Statistics Using SASby Geoff Der; Brian S. Everitt

    Taylor and Francis 2012; US$ 93.95

    Written with medical statisticians and medical researchers in mind, this intermediate-level reference explores the use of SAS for analyzing medical data. Applied Medical Statistics Using SAS covers the whole range of modern statistical methods used in the analysis of medical data, including regression, analysis of variance and covariance, longitudinal... more...

  • A Handbook of Statistical Analyses Using Rby Torsten Hothorn; Brian S. Everitt

    Taylor and Francis 2006; US$ 55.95

    R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA,... more...

  • A Handbook of Statistical Graphics Using SAS ODSby Geoff Der; Brian S. Everitt

    Taylor and Francis 2014; US$ 69.95

    Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the... more...

  • Statistical Aspects of the Design and Analysis of Clinical Trials Revised Editionby Brian S. Everitt; Andrew Pickles

    World Scientific Publishing Company 2004; US$ 193.00

    Fully updated, this revised edition describes the statistical aspects of both the design and analysis of trials, with particular emphasis on the more recent methods of analysis. About 8000 clinical trials are undertaken annually in all areas of medicine, from the treatment of acne to the prevention of cancer. more...

  • Encyclopaedic Companion to Medical Statisticsby Brian S. Everitt; Christopher Palmer

    Wiley 2011; US$ 78.00

    Statistical methodology is of great importance to medical research and clinical practice. The Encyclopaedic Companion to Medical Statistics contains readable accounts of the key topics central to current research and practice. Each entry has been written by an individual chosen for both their expertise in the field and their ability to communicate... more...

  • Cluster Analysisby Brian S. Everitt; Sabine Landau; Morven Leese; Daniel Stahl

    Wiley 2011; US$ 95.00

    Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.... more...

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