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Statistics for the Biological Sciences Books

You are currently browsing 21–30 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 3

  1. 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 21st 2013 by Chapman and Hall/CRC

  2. 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 19th 2013 by Chapman and Hall/CRC

  3. 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 4th 2013 by Chapman and Hall/CRC

  4. Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

    By Michael Smithson, Edgar C. Merkle

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous...

    Published September 5th 2013 by Chapman and Hall/CRC

  5. Incomplete Categorical Data Design

    Non-Randomized Response Techniques for Sensitive Questions in Surveys

    By Guo-Liang Tian, Man-Lai Tang

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially...

    Published August 17th 2013 by Chapman and Hall/CRC

  6. Statistical Methods for Handling Incomplete Data

    By Jae Kwang Kim, Jun Shao

    Due to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. Statistical Methods for Handling Incomplete Data covers the most up-to-date statistical theories and computational...

    Published July 23rd 2013 by Chapman and Hall/CRC

  7. Handbook of Survival Analysis

    Edited by John P. Klein, Hans C. van Houwelingen, Joseph G. Ibrahim, Thomas H. Scheike

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

    Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the...

    Published July 22nd 2013 by Chapman and Hall/CRC

  8. Optimal Design for Nonlinear Response Models

    By Valerii V. Fedorov, Sergei L. Leonov

    Series: Chapman & Hall/CRC Biostatistics Series

    Optimal Design for Nonlinear Response Models discusses the theory and applications of model-based experimental design with a strong emphasis on biopharmaceutical studies. The book draws on the authors’ many years of experience in academia and the pharmaceutical industry. While the focus is on...

    Published July 15th 2013 by CRC Press

  9. Exercises and Solutions in Statistical Theory

    By Lawrence L. Kupper, Brian. H Neelon, Sean M. O'Brien

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by working on and reviewing solutions to interesting and challenging exercises of practical importance. Unlike similar books, this text incorporates many exercises that...

    Published June 24th 2013 by Chapman and Hall/CRC

  10. Analysis of Variance for Functional Data

    By Jin-Ting Zhang

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

    Despite research interest in functional data analysis in the last three decades, few books are available on the subject. Filling this gap, Analysis of Variance for Functional Data presents up-to-date hypothesis testing methods for functional data analysis. The book covers the reconstruction of...

    Published June 18th 2013 by Chapman and Hall/CRC