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Statistics for the Biological Sciences Books

You are currently browsing 1–10 of 271 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 1

  1. 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 22nd 2013 by Chapman and Hall/CRC

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. Encyclopedia of Biopharmaceutical Statistics, Third Edition

    Edited by Shein-Chung Chow

    In recent years, there has been an explosive growth of biopharmaceutical and clinical research, including the development of new medicines for treating severe or life-threatening diseases. Biopharmaceutical statistics plays an extremely important role in ensuring not only the efficacy and safety of...

    Published December 26th 2012 by CRC Press

  8. 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

  9. Regression Models as a Tool in Medical Research

    By Werner Vach

    While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression...

    Published November 26th 2012 by Chapman and Hall/CRC

  10. Bayesian Methods in Health Economics

    By Gianluca Baio

    Series: Chapman & Hall/CRC Biostatistics Series

    Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian...

    Published November 11th 2012 by Chapman and Hall/CRC