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Forthcoming Statistics for the Biological Sciences Books

You are currently browsing 1–10 of 69 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. Basic Statistics and Pharmaceutical Statistical Applications, Third Edition

    By James E. De Muth

    Series: Pharmacy Education Series

    Building on its best-selling predecessors, Basic Statistics and Pharmaceutical Statistical Applications, Third Edition covers statistical topics most relevant to those in the pharmaceutical industry and pharmacy practice. It focuses on the fundamentals required to understand descriptive and...

    To Be Published April 27th 2014 by Chapman and Hall/CRC

  2. Writing Dissertation and Grant Proposals

    Epidemiology, Preventive Medicine and Biostatistics

    By Lisa Chasan-Taber

    Competition for research funds in epidemiology, preventative medicine, and biostatistics has never been more intense and, at the same time, the grant application and review process at such agencies as the National Institutes of Health (NIH) is undergoing significant transformation. Writing...

    To Be Published May 4th 2014 by Chapman and Hall/CRC

  3. Robust Response Surfaces, Regression, and Positive Data Analyses

    By Rabindra Nath Das

    Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and...

    To Be Published May 26th 2014 by Chapman and Hall/CRC

  4. A Handbook of Statistical Analyses using R, Third Edition

    By Torsten Hothorn, Brian S. Everitt

    Like the best-selling first two editions, A Handbook of Statistical Analyses using R, Third Edition provides an up-to-date guide to data analysis using the R system for statistical computing. The book explains how to conduct a range of statistical analyses, from simple inference to recursive...

    To Be Published June 11th 2014 by Chapman and Hall/CRC

  5. SAS and R

    Data Management, Statistical Analysis, and Graphics, Second Edition

    By Ken Kleinman, Nicholas J. Horton

    An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis,...

    To Be Published June 19th 2014 by Chapman and Hall/CRC

  6. Introduction to Multivariate Analysis

    Linear and Nonlinear Modeling

    By Sadanori Konishi

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Multivariate techniques are used to analyze data that arise from more than one variable in which there are relationships between the variables. Mainly based on the linearity of observed variables, these techniques are useful for extracting information and patterns from multivariate data as well as...

    To Be Published June 29th 2014 by Chapman and Hall/CRC

  7. Linear Models with R, Second Edition

    By Julian J. Faraway

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Linear models are widely used in applications in physical science, engineering, social science and business. The world of R has expanded in the ten years that have passed since this text’s first edition. The second edition reorganizes the material on interpreting linear models to distinguish the...

    To Be Published July 8th 2014 by Chapman and Hall/CRC

  8. Mixed Effects Models for the Population Approach

    Models, Tasks, Methods and Tools

    By Marc Lavielle

    Series: Chapman & Hall/CRC Biostatistics Series

    This book presents wide-ranging coverage of parametric modeling in linear and nonlinear mixed-effects models. Using these models, readers can perform parameter estimation across a whole population of individuals at the same time. The book takes readers through the whole modeling process, from...

    To Be Published July 16th 2014 by Chapman and Hall/CRC

  9. Linear Mixed Models

    A Practical Guide Using Statistical Software, Second Edition

    By Brady T. West, Kathleen B. Welch, Andrzej T Galecki

    This second edition updates the case studies using the latest versions of the software procedures, covers additional topics in the application of linear mixed models, and provides up-to-date information on fitting linear mixed models in SAS, SPSS, Stata, R/S-plus, and HLM. This edition presents...

    To Be Published July 20th 2014 by Chapman and Hall/CRC

  10. Analysis of Categorical Data with R

    By Christopher R. Bilder, Thomas M. Loughin

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Written for students and researchers in statistics and biostatistics, this book presents a modern introduction to categorical data analysis, with R integrated into the text as a data analysis method and a learning tool. The book includes many detailed worked examples to illustrate methods, with R...

    To Be Published July 27th 2014 by Chapman and Hall/CRC