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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

21-30 of 34 results in Chapman & Hall/CRC Interdisciplinary Statistics
  1. Overdispersion

    Models and Estimation

    By John Hinde, Clarice G Demetrio

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Overdispersion is commonly encountered in modelling data. Statisticians and those working in the application areas need to know how to deal with it, and this book provides a complete source for identifying and handling overdispersion. With increasing focus on modelling in the applied sciences, this...

    Published August 14th 2004 by Chapman and Hall/CRC

  2. Generalized Latent Variable Modeling

    Multilevel, Longitudinal, and Structural Equation Models

    By Anders Skrondal, Sophia Rabe-Hesketh

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable...

    Published May 10th 2004 by Chapman and Hall/CRC

  3. Measurement Error and Misclassification in Statistics and Epidemiology

    Impacts and Bayesian Adjustments

    By Paul Gustafson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and...

    Published September 24th 2003 by Chapman and Hall/CRC

  4. Statistical Analysis of Gene Expression Microarray Data

    Edited by Terry Speed

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Although less than a decade old, the field of microarray data analysis is now thriving and growing at a remarkable pace. Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of...

    Published March 25th 2003 by Chapman and Hall/CRC

  5. Clinical Trials in Oncology, Second Edition

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

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Studies that are unimpeachably thorough, non-political, unbiased, and properly designed… These are the standards to which everyone in clinical research aspires. Yet, the difficulties in designing trials and interpreting data are subtle and ever present. The new edition of Clinical Trials in...

    Published July 29th 2002 by Chapman and Hall/CRC

  6. Design and Analysis of Quality of Life Studies in Clinical Trials

    By Diane L. Fairclough

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    More and more frequently, clinical trials include the evaluation of Health-Related Quality of Life (HRQoL), yet many investigators remain unaware of the unique measurement and analysis issues associated with the assessment of HRQoL. At the end of a study, clinicians and statisticians often face...

    Published March 27th 2002 by Chapman and Hall/CRC

  7. An Invariant Approach to Statistical Analysis of Shapes

    By Subhash R. Lele, Joan T. Richtsmeier

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Natural scientists perceive and classify organisms primarily on the basis of their appearance and structure- their form , defined as that characteristic remaining invariant after translation, rotation, and possibly reflection of the object. The quantitative study of form and form change comprises...

    Published January 18th 2001 by Chapman and Hall/CRC

  8. Group Sequential Methods with Applications to Clinical Trials

    By Christopher Jennison, Bruce W. Turnbull

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Group sequential methods answer the needs of clinical trial monitoring committees who must assess the data available at an interim analysis. These interim results may provide grounds for terminating the study-effectively reducing costs-or may benefit the general patient population by allowing early...

    Published September 14th 1999 by Chapman and Hall/CRC

  9. Dynamical Search

    Applications of Dynamical Systems in Search and Optimization

    By Luc Pronzato, Henry P. Wynn, Anatoly A Zhigljavsky

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Certain algorithms that are known to converge can be renormalized or "blown up" at each iteration so that their local behavior can be seen. This creates dynamical systems that we can study with modern tools, such as ergodic theory, chaos, special attractors, and Lyapounov exponents. Furthermore, we...

    Published August 26th 1999 by Chapman and Hall/CRC

  10. Graphical Analysis of Multi-Response Data

    By Kaye Enid Basford, John Wilder Tukey

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures. These procedures are then used, in various ways, to analyze, summarize, and present data from a specific, well-known plant breeding...

    Published October 20th 1998 by Chapman and Hall/CRC