Skip to Content

Books by Subject

Statistics for the Biological Sciences Books

You are currently browsing 31–40 of 163 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 4

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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 4th 2013 by Chapman and Hall/CRC

  8. 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 28th 2013 by Chapman and Hall/CRC

  9. 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 25th 2013 by Chapman and Hall/CRC

  10. 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 16th 2013 by Chapman and Hall/CRC