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Statistics for the Biological Sciences Books

You are currently browsing 41–50 of 159 new and published books in the subject of Statistics for the Biological Sciences — sorted by publish date from newer books to older books.

For books that are not yet published; please browse forthcoming books.

New and Published Books – Page 5

  1. 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

  2. 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

  3. Biostatistics: A Computing Approach

    By Stewart Anderson

    Series: Chapman & Hall/CRC Biostatistics Series

    The emergence of high-speed computing has facilitated the development of many exciting statistical and mathematical methods in the last 25 years, broadening the landscape of available tools in statistical investigations of complex data. Biostatistics: A Computing Approach focuses on visualization...

    Published December 19th 2011 by Chapman and Hall/CRC

  4. Nonparametric Statistical Tests

    A Computational Approach

    By Markus Neuhauser

    Nonparametric Statistical Tests: A Computational Approach describes classical nonparametric tests, as well as novel and little-known methods such as the Baumgartner-Weiss-Schindler and the Cucconi tests. The book presents SAS and R programs, allowing readers to carry out the different statistical...

    Published December 18th 2011 by Chapman and Hall/CRC

  5. Dynamic Prediction in Clinical Survival Analysis

    By Hans van Houwelingen, Hein Putter

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    There is a huge amount of literature on statistical models for the prediction of survival after diagnosis of a wide range of diseases like cancer, cardiovascular disease, and chronic kidney disease. Current practice is to use prediction models based on the Cox proportional hazards model and to...

    Published November 8th 2011 by CRC Press

  6. Bayesian Analysis Made Simple

    An Excel GUI for WinBUGS

    By Phil Woodward

    Series: Chapman & Hall/CRC Biostatistics Series

    Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand. Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but...

    Published August 25th 2011 by Chapman and Hall/CRC

  7. Statistical Evaluation of Diagnostic Performance

    Topics in ROC Analysis

    By Kelly H. Zou, Aiyi Liu, Andriy I. Bandos, Lucila Ohno-Machado, Howard E. Rockette

    Series: Chapman & Hall/CRC Biostatistics Series

    Statistical evaluation of diagnostic performance in general and Receiver Operating Characteristic (ROC) analysis in particular are important for assessing the performance of medical tests and statistical classifiers, as well as for evaluating predictive models or algorithms. This book presents...

    Published July 26th 2011 by Chapman and Hall/CRC

  8. Practical Multivariate Analysis, Fifth Edition

    By Abdelmonem Afifi, Susanne May, Virginia A. Clark

    Series: Chapman & Hall/CRC Texts in Statistical Science

    This new version of the bestselling Computer-Aided Multivariate Analysis has been appropriately renamed to better characterize the nature of the book. Taking into account novel multivariate analyses as well as new options for many standard methods, Practical Multivariate Analysis, Fifth Edition...

    Published July 4th 2011 by Chapman and Hall/CRC

  9. Gaussian Process Regression Analysis for Functional Data

    By Jian Qing Shi, Taeryon Choi

    Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis, specifically the methods based on a Gaussian process prior in a functional space. The authors focus on problems involving functional response variables and mixed...

    Published June 30th 2011 by Chapman and Hall/CRC

  10. Handbook of Markov Chain Monte Carlo

    Edited by Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng

    Series: Chapman & Hall/CRC Handbooks of Modern Statistical Methods

    Since their popularization in the 1990s, Markov chain Monte Carlo (MCMC) methods have revolutionized statistical computing and have had an especially profound impact on the practice of Bayesian statistics. Furthermore, MCMC methods have enabled the development and use of intricate models in an...

    Published May 9th 2011 by Chapman and Hall/CRC