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Statistics for the Biological Sciences Books

You are currently browsing 41–50 of 308 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. 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 17th 2013 by Chapman and Hall/CRC

  2. Survival Analysis in Medicine and Genetics

    By Jialiang Li, Shuangge Ma

    Series: Chapman & Hall/CRC Biostatistics Series

    Using real data sets throughout, Survival Analysis in Medicine and Genetics introduces the latest methods for analyzing high-dimensional survival data. It provides thorough coverage of recent statistical developments in the medical and genetics fields. The text mainly addresses special concerns...

    Published June 3rd 2013 by Chapman and Hall/CRC

  3. Methods of Statistical Model Estimation

    By Joseph M. Hilbe, Andrew P. Robinson

    Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for...

    Published May 27th 2013 by Chapman and Hall/CRC

  4. Applied Meta-Analysis with R

    By Ding-Geng (Din) Chen, Karl E. Peace

    Series: Chapman & Hall/CRC Biostatistics Series

    In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, Applied Meta-Analysis with R shows how to implement statistical meta-analysis...

    Published May 2nd 2013 by Chapman and Hall/CRC

  5. Randomized Phase II Cancer Clinical Trials

    By Sin-Ho Jung

    Series: Chapman & Hall/CRC Biostatistics Series

    In cancer research, a traditional phase II trial is designed as a single-arm trial that compares the experimental therapy to a historical control. This simple trial design has led to several adverse issues, including increased false positivity of phase II trial results and negative phase III trials...

    Published May 1st 2013 by Chapman and Hall/CRC

  6. Handbook of SAS® DATA Step Programming

    By Arthur Li

    To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step....

    Published April 9th 2013 by Chapman and Hall/CRC

  7. Bayesian Disease Mapping

    Hierarchical Modeling in Spatial Epidemiology, Second Edition

    By Andrew B. Lawson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in...

    Published March 17th 2013 by Chapman and Hall/CRC

  8. Age-Period-Cohort Analysis

    New Models, Methods, and Empirical Applications

    By Yang Yang, Kenneth C. Land

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three...

    Published February 24th 2013 by Chapman and Hall/CRC

  9. Analysis of Mixed Data

    Methods & Applications

    Edited by Alexander R. de Leon, Keumhee Carrière Chough

    A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and...

    Published January 15th 2013 by Chapman and Hall/CRC

  10. Generalized Estimating Equations, Second Edition

    By James W. Hardin, Joseph M. Hilbe

    Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models....

    Published December 9th 2012 by Chapman and Hall/CRC