Statistics Products

  • Statistical Methods in Psychiatry and Related Fields

    Longitudinal, Clustered, and Other Repeated Measures Data

    By Ralitza Gueorguieva

    Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical…

    Hardback – 2017-11-28 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Interdisciplinary Statistics

  • Real Estate Analysis in the Information Age

    Techniques for Big Data and Statistical Modeling

    By Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb, Nick Evangelopoulos

    The creation, accumulation, and use of copious amounts of data are driving rapid change across a wide variety of industries and academic disciplines. This ‘Big Data’ phenomenon is the result of recent developments in computational technology and improved data gathering techniques that have led to…

    Paperback – 2017-11-21 
    Routledge

  • Biostatistics for Clinical and Public Health Research

    By Melody S. Goodman

    This book provides a concise overview of statistical analysis methods for the clinical and public health practitioner. The book teaches statistical models without all the theory. Use of SAS software is illustrated in full, including how to interpret results. The book is complete with exercises,…

    Paperback – 2017-11-21 
    CRC Press

  • Applied Biostatistical Principles and Concepts

    Clinicians' Guide to Data Analysis and Interpretation

    By Laurens Holmes, Jr.

    The past three decades have witnessed modern advances in statistical modeling and evidence discovery in biomedical, clinical, and population-based research. With these advances come the challenges in accurate model stipulation and application of models in scientific evidence discovery Applied…

    Hardback – 2017-11-07 
    CRC Press

  • High Performance Computing for Big Data

    Methodologies and Applications

    Edited by Chao Wang

    High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life…

    Hardback – 2017-11-06 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Big Data Series

  • Frontiers in Data Science

    Edited by Matthias Dehmer, Frank Emmert-Streib

    Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation…

    Hardback – 2017-11-03 
    CRC Press
    Chapman & Hall/CRC Big Data Series

  • Analyzing Health Data in R for SAS Users

    By Monika Maya Wahi, Peter Seebach

    Analyzing Health Data in R for SAS Users is aimed at helping health data analysts who use SAS accomplish some of the same tasks in R. It is targeted to public health students and professionals who have a background in biostatistics and SAS software, but are new to R. For professors, it is useful…

    Hardback – 2017-11-01 
    Chapman and Hall/CRC

  • Randomization, Masking, and Allocation Concealment

    Edited by Vance Berger

    Randomization, Masking, and Allocation Concealment is indispensable for any trial researcher who wants to use state of the art randomization methods, and also wants to be able to describe these methods correctly. Far too often the subtle nuances that distinguish proper randomization from flawed…

    Hardback – 2017-10-31 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Biostatistics Series

  • Intuition, Trust, and Analytics

    By Jay Liebowitz, Joanna Paliszkiewicz, Jerzy Gołuchowski

    In order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a…

    Hardback – 2017-10-26 
    Auerbach Publications
    Data Analytics Applications

  • Applied Epidemiologic Principles and Concepts

    Clinicians' Guide to Study Design and Conduct, 2nd Edition

    By Laurens Holmes, Jr.

    This book provides practical knowledge to clinicians and biomedical researchers using biological and biochemical specimen/samples in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and…

    Hardback – 2017-10-19 
    CRC Press

  • Research Analytics

    Boosting University Productivity and Competitiveness through Scientometrics

    Edited by Francisco J. Cantu-Ortiz

    Scientific knowledge is doubling every 10 to 15 years worldwide. Who generates this knowledge? Where is all this information stored? How is it being utilized? What are the main metrics for its use? What kind of impact is this knowledge having aside from economic considerations? These are some…

    Hardback – 2017-10-13 
    Auerbach Publications
    Data Analytics Applications

  • Handbook of Quantile Regression

    Edited by Roger Koenker, Victor Chernozhukov, Xuming He, Limin Peng

    Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean regression that…

    Hardback – 2017-10-02 
    Chapman and Hall/CRC
    Chapman & Hall/CRC Handbooks of Modern Statistical Methods

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