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Statistics for the Biological Sciences Books

You are currently browsing 21–30 of 243 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 3

  1. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis

    Edited by Koichi Sameshima, Luiz Antonio Baccala

    Series: Frontiers in Neuroengineering Series

    Interest in brain connectivity inference has become ubiquitous and is now increasingly adopted in experimental investigations of clinical, behavioral, and experimental neurosciences. Methods in Brain Connectivity Inference through Multivariate Time Series Analysis gathers the contributions of...

    Published March 20th 2014 by CRC Press

  2. An Introduction to Stata for Health Researchers, Fourth Edition

    By Svend Juul, Morten Frydenberg

    An Introduction to Stata for Health Researchers, Fourth Edition methodically covers data management, simple description and analysis, and more advanced analyses often used in health research, including regression models, survival analysis, and evaluation of diagnostic methods. A chapter on graphics...

    Published March 20th 2014 by Stata Press

  3. Quasi-Least Squares Regression

    By Justine Shults, Joseph M. Hilbe

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

    Drawing on the authors’ substantial expertise in modeling longitudinal and clustered data, Quasi-Least Squares Regression provides a thorough treatment of quasi-least squares (QLS) regression—a computational approach for the estimation of correlation parameters within the framework of generalized...

    Published January 27th 2014 by Chapman and Hall/CRC

  4. Stochastic Modeling and Mathematical Statistics

    A Text for Statisticians and Quantitative Scientists

    By Francisco J. Samaniego

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is...

    Published January 13th 2014 by Chapman and Hall/CRC

  5. Randomised Response-Adaptive Designs in Clinical Trials

    By Anthony C Atkinson, Atanu Biswas

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

    Randomised Response-Adaptive Designs in Clinical Trials presents methods for the randomised allocation of treatments to patients in sequential clinical trials. Emphasizing the practical application of clinical trial designs, the book is designed for medical and applied statisticians, clinicians,...

    Published December 25th 2013 by Chapman and Hall/CRC

  6. Theory of Factorial Design

    Single- and Multi-Stratum Experiments

    By Ching-Shui Cheng

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

    Bringing together both new and old results, Theory of Factorial Design: Single- and Multi-Stratum Experiments provides a rigorous, systematic, and up-to-date treatment of the theoretical aspects of factorial design. To prepare readers for a general theory, the author first presents a unified...

    Published December 20th 2013 by Chapman and Hall/CRC

  7. Epidemiology

    Study Design and Data Analysis, Third Edition

    By Mark Woodward

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of...

    Published December 18th 2013 by Chapman and Hall/CRC

  8. Benefit-Risk Assessment in Pharmaceutical Research and Development

    Edited by Andreas Sashegyi, James Felli, Rebecca Noel

    Series: Chapman & Hall/CRC Biostatistics Series

    Many practitioners in the pharmaceutical industry are still largely unfamiliar with benefit-risk assessment, despite its growing prominence in drug development and commercialization. Helping to alleviate this knowledge gap, Benefit-Risk Assessment in Pharmaceutical Research and Development provides...

    Published November 26th 2013 by Chapman and Hall/CRC

  9. Richly Parameterized Linear Models

    Additive, Time Series, and Spatial Models Using Random Effects

    By James S. Hodges

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a systematic, theory-based...

    Published November 3rd 2013 by Chapman and Hall/CRC

  10. Statistical Analysis of Human Growth and Development

    By Yin Bun Cheung

    Series: Chapman & Hall/CRC Biostatistics Series

    Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. Designed for nonstatisticians and statisticians new to the analysis of growth and...

    Published October 27th 2013 by Chapman and Hall/CRC