Chapman & Hall/CRC Interdisciplinary Statistics

New and Published Books

1-10 of 29 results in Chapman & Hall/CRC Interdisciplinary Statistics

1. Analysis of Capture-Recapture Data

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

   Series: Chapman & Hall/CRC Interdisciplinary Statistics

   Written for researchers and graduate students in statistics, demography, and the social sciences, this reference provides an overview of capture-recapture—the statistical methods used to estimate population size. It covers model development and examines the technicalities of model diagnostics, an...

   Published May 10th 2012 by Chapman and Hall/CRC
2. 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
3. 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
4. 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
5. 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
6. 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
7. 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
8. 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 6th 2010 by Chapman and Hall/CRC
9. 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 29th 2009 by Chapman and Hall/CRC
10. Cluster Randomised Trials

    By Richard J. Hayes, Lawrence H. Moulton

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Cluster Randomised Trials discusses the design, conduct, and analysis of health trials that randomise groups of individuals to different treatments. It explores the advantages of cluster randomization, with special attention given to evaluating the effects of interventions against infectious...

    Published January 11th 2009 by Chapman and Hall/CRC