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Chapman & Hall/CRC Interdisciplinary Statistics

Series Editor: Niels Keiding, Byron J.T. Morgan, Christopher K. Wikle, Peter Van der Heijden

New and Published Books

1-10 of 34 results in Chapman & Hall/CRC Interdisciplinary Statistics
  1. Analysis of Capture-Recapture Data

    By Rachel S. McCrea, Byron J. T. Morgan

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the...

    Published July 31st 2014 by Chapman and Hall/CRC

  2. Bayesian Disease Mapping

    Hierarchical Modeling in Spatial Epidemiology, Second Edition

    By Andrew B. Lawson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in...

    Published March 17th 2013 by Chapman and Hall/CRC

  3. Age-Period-Cohort Analysis

    New Models, Methods, and Empirical Applications

    By Yang Yang, Kenneth C. Land

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three...

    Published February 24th 2013 by Chapman and Hall/CRC

  4. Clinical Trials in Oncology, Third Edition

    By Stephanie Green, Jacqueline Benedetti, Angela Smith, John Crowley

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the...

    Published May 8th 2012 by CRC Press

  5. Flexible Imputation of Missing Data

    By Stef van Buuren

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Missing data form a problem in every scientific discipline, yet the techniques required to handle them are complicated and often lacking. One of the great ideas in statistical science—multiple imputation—fills gaps in the data with plausible values, the uncertainty of which is coded in the data...

    Published March 28th 2012 by Chapman and Hall/CRC

  6. Time Series Modeling of Neuroscience Data

    By Tohru Ozaki

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Recent advances in brain science measurement technology have given researchers access to very large-scale time series data such as EEG/MEG data (20 to 100 dimensional) and fMRI (140,000 dimensional) data. To analyze such massive data, efficient computational and statistical methods are required....

    Published January 25th 2012 by CRC Press

  7. Statistics of Medical Imaging

    By Tianhu Lei

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Statistical investigation into technology not only provides a better understanding of the intrinsic features of the technology (analysis), but also leads to an improved design of the technology (synthesis). Physical principles and mathematical procedures of medical imaging technologies have been...

    Published December 18th 2011 by Chapman and Hall/CRC

  8. Generalized Linear Models

    Theory and Applications

    By Joseph M. Hilbe, James W. Hardin

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Generalized Linear Models: Theory and Applications provides a comprehensive, practical introduction to generalized linear models that covers all of the main models and methods of estimation. Worked examples of real data are backed up by implementation in a range of software packages, including R,...

    Published June 14th 2010 by Chapman and Hall/CRC

  9. Visualizing Data Patterns with Micromaps

    By Daniel B. Carr, Linda Williams Pickle

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data...

    Published April 28th 2010 by Chapman and Hall/CRC

  10. Measurement Error

    Models, Methods, and Applications

    By John P. Buonaccorsi

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications...

    Published March 1st 2010 by Chapman and Hall/CRC