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Forthcoming Statistics for the Biological Sciences Books

You are currently browsing 1–10 of 17 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. Current Trends in Bayesian Methodology with Applications

    Edited by Satyanshu K. Upadhyay, Umesh Singh, Dipak K. Dey, Appaia Loganathan

    Collecting Bayesian material scattered throughout the literature, Current Trends in Bayesian Methodology with Applications examines the latest methodological and applied aspects of Bayesian statistics. The book covers biostatistics, econometrics, reliability and risk analysis, spatial statistics,...

    To Be Published June 8th 2015 by Chapman and Hall/CRC

  2. Measuring Statistical Evidence Using Relative Belief

    By Michael Evans

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

    A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview of recent work on developing a theory of statistical inference based on measuring statistical evidence. It shows that being explicit about how to measure statistical...

    To Be Published June 22nd 2015 by Chapman and Hall/CRC

  3. Data Analysis with Competing Risks and Intermediate States

    By Ronald B. Geskus

    Series: Chapman & Hall/CRC Biostatistics Series

    This practical book helps biomedical and epidemiological researchers extend their knowledge and skills in the analysis of standard time-to-event data to the competing risks setting. The author explains the main concepts that play a role in competing risks analyses, including the independence...

    To Be Published July 10th 2015 by Chapman and Hall/CRC

  4. Bayesian Methods for Repeated Measures

    By Lyle D. Broemeling

    Series: Chapman & Hall/CRC Biostatistics Series

    This book introduces the reader to a Bayesian approach to repeated measures and will include WinBUGS code. The book covers diagnostic procedures for repeated measures along with a complete treatment of missing data and uses a multinomial model to analyze binary and count data and the more general...

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

  5. 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 1st 2015 by Chapman and Hall/CRC

  6. Inferential Models

    Reasoning with Uncertainty

    By Chuanhai Liu, Ryan Martin

    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 November 15th 2015 by Chapman and Hall/CRC

  7. 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 December 15th 2015 by Chapman and Hall/CRC

  8. Mixed Models

    By Geert Verbeke, Geert Molenberghs

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

    Research on mixed models has been extensive over the most recent decade. This book differs from the authors' previous monographs on longitudinal data in that it focuses on mixed models of a linear, generalized linear and nonlinear type. The book pays attention to recent developments that include...

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

  9. Structural Nonparametric Models for the Analysis of Longitudinal Data

    By Colin O. Wu, Xin Tian

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

    This book covers the recent advancement of statistical methods for the analysis of longitudinal data. Real datasets from four large NIH-supported longitudinal clinical trials and epidemiological studies illustrate the practical applications of the statistical methods. This book focuses on the...

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