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Statistics for the Biological Sciences Books

You are currently browsing 31–40 of 302 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. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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 3rd 2013 by Chapman and Hall/CRC

  9. 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 2nd 2013 by Chapman and Hall/CRC

  10. 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 10th 2013 by Chapman and Hall/CRC