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Forthcoming Statistics for the Biological Sciences Books

You are currently browsing 1–10 of 16 forthcoming new books in the subject of Statistics for the Biological Sciences — sorted by publish date from upcoming books to future books.

For books that are already published; please browse available books.

Forthcoming Books

  1. Data Analysis with Competing Risks and Intermediate States

    By Ronald B. Geskus

    Series: Chapman & Hall/CRC Biostatistics Series

    Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results....

    To Be Published July 30th 2015 by Chapman and Hall/CRC

  2. Bayesian Methods for Repeated Measures

    By Lyle D. Broemeling

    Series: Chapman & Hall/CRC Biostatistics Series

    Analyze Repeated Measures Studies Using Bayesian Techniques Going beyond standard non-Bayesian books, Bayesian Methods for Repeated Measures presents the main ideas for the analysis of repeated measures and associated designs from a Bayesian viewpoint. It describes many inferential methods for...

    To Be Published August 18th 2015 by Chapman and Hall/CRC

  3. Sharpening Your Advanced SAS Skills

    By Sunil Gupta

    Adhering to the curriculum of the SAS 9 Advanced Exam, this book provides an overview of advanced SAS programming techniques. It adopts a clear and concise approach to address each topic, offering basic syntax, a list of key points, other notes specific to the SAS topic, and an annotated example....

    To Be Published October 15th 2015 by Chapman and Hall/CRC

  4. Missing Data Analysis in Practice

    By Trivellore Raghunathan

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    This book focuses on two general purpose approaches to data analysis that work well in practice: weighting and imputation. The book takes a very practical approach to the methods, with a number of datasets used to illustrate the key aspects. The datasets are taken from randomized trials,...

    To Be Published October 19th 2015 by Chapman and Hall/CRC

  5. Inferential Models

    Reasoning with Uncertainty

    By Ryan Martin, Chuanhai Liu

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

    This book delves into the authors’ work toward deeper understanding of statistical inference in terms of reasoning with uncertainty and meaningfulness of probabilistic inferential output. Focusing on a valid, prior-free probabilistic inferential framework called inferential models, the authors...

    To Be Published October 30th 2015 by Chapman and Hall/CRC

  6. Introductory Fisheries Analysis with R

    By Derek H. Ogle

    Series: Chapman & Hall/CRC The R Series

    This book provides detailed instructions on how to perform basic fisheries stock assessment analyses in the R environment. The analyses covered are typical analyses for many working fisheries scientists and, thus, also occur in most upper-level undergraduate and graduate level fisheries science,...

    To Be Published January 15th 2016 by Chapman and Hall/CRC

  7. Handbook of Statistical Methods for Brain Signals and Images

    Edited by Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston

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

    This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering...

    To Be Published January 26th 2016 by Chapman and Hall/CRC

  8. Understanding Regression and ANOVA as Research Tools Using SAS

    By Patricia F. Moodie, Dallas E. Johnson

    Designed for researchers and data analysts, this book presents rigorous statistical methods without burdening readers with mathematical theory. Readers see how linear regression and ANOVA can be used in biology, agriculture, health science, environmental science, fisheries, forestry, as well as the...

    To Be Published February 15th 2016 by Chapman and Hall/CRC

  9. A Practical Guide to Age-Period Cohort Analysis Using R

    The Identification Problem and Beyond

    By Wenjiang Fu

    A popular and efficient tool to analyze grouped data of a certain event, APC analysis is used in a range of application areas, including public health, social science, demography, and economics. This book first describes the basic graphic presentation and modeling of APC data using R. Taking a more...

    To Be Published February 15th 2016 by Chapman and Hall/CRC

  10. Causal Inference

    By Miguel A. Hernan, James M. Robins

    The application of causal inference methods is growing exponentially in fields that deal with observational data. Written by pioneers in the field, this practical book presents an authoritative yet accessible overview of the methods and applications of causal inference. With a wide range of...

    To Be Published March 15th 2016 by CRC Press