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Book Series

Chapman & Hall/CRC Interdisciplinary Statistics

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

New and Published Books

11-20 of 33 results in Chapman & Hall/CRC Interdisciplinary Statistics
  1. 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 29th 2010 by Chapman and Hall/CRC

  2. 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 2nd 2010 by Chapman and Hall/CRC

  3. Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition

    By Diane L. Fairclough

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Design Principles and Analysis Techniques for HRQoL Clinical TrialsSAS, R, and SPSS examples realistically show how to implement methods Focusing on longitudinal studies, Design and Analysis of Quality of Life Studies in Clinical Trials, Second Edition addresses design and analysis aspects in...

    Published January 7th 2010 by Chapman and Hall/CRC

  4. Bayesian Analysis for Population Ecology

    By Ruth King, Byron Morgan, Olivier Gimenez, Steve Brooks

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to...

    Published October 30th 2009 by Chapman and Hall/CRC

  5. Statistical Detection and Surveillance of Geographic Clusters

    By Peter Rogerson, Ikuho Yamada

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    The widespread popularity of geographic information systems (GIS) has led to new insights in countless areas of application. It has facilitated not only the collection and storage of geographic data, but also the display of such data. Building on this progress by using an integrated approach,...

    Published December 24th 2008 by Chapman and Hall/CRC

  6. Statistical and Computational Pharmacogenomics

    By Rongling Wu, Min Lin

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Due to the tremendous accumulation of data for genetic markers, pharmacogenomics, the study of the functions and interactions of all genes in the overall variability of drug response, is one of the hottest areas of research in biomedical science. Statistical and Computational Pharmacogenomics...

    Published August 8th 2008 by Chapman and Hall/CRC

  7. Bayesian Disease Mapping

    Hierarchical Modeling in Spatial Epidemiology

    By Andrew B. Lawson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. The book...

    Published August 5th 2008 by Chapman and Hall/CRC

  8. Meta-analysis of Binary Data Using Profile Likelihood

    By Dankmar Bohning, Sasivimol Rattanasiri, Ronny Kuhnert

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled...

    Published March 27th 2008 by Chapman and Hall/CRC

  9. Correspondence Analysis in Practice, Second Edition

    By Michael Greenacre

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Drawing on the author’s experience in social and environmental research, Correspondence Analysis in Practice, Second Edition shows how the versatile method of correspondence analysis (CA) can be used for data visualization in a wide variety of situations. This completely revised, up-to-date edition...

    Published May 7th 2007 by Chapman and Hall/CRC

  10. Statistical and Probabilistic Methods in Actuarial Science

    By Philip J. Boland

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. The book builds on students’ existing knowledge of probability and statistics by...

    Published March 5th 2007 by Chapman and Hall/CRC