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Statistics for the Biological Sciences Books

You are currently browsing 1–10 of 160 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 1

  1. Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition

    By Nicholas J. Horton, Ken Kleinman

    Improve Your Analytical Skills Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the...

    Published March 10th 2015 by Chapman and Hall/CRC

  2. Mendelian Randomization

    Methods for Using Genetic Variants in Causal Estimation

    By Stephen Burgess, Simon G. Thompson

    Series: Chapman & Hall/CRC Interdisciplinary Statistics

    Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk...

    Published March 6th 2015 by Chapman and Hall/CRC

  3. Design and Analysis of Experiments with R

    By John Lawson

    Series: Chapman & Hall/CRC Texts in Statistical Science

    Design and Analysis of Experiments with R presents a unified treatment of experimental designs and design concepts commonly used in practice. It connects the objectives of research to the type of experimental design required, describes the process of creating the design and collecting the data,...

    Published December 17th 2014 by Chapman and Hall/CRC

  4. Bayesian Methods

    A Social and Behavioral Sciences Approach, Third Edition

    By Jeff Gill

    Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

    An Update of the Most Popular Graduate-Level Introductions to Bayesian Statistics for Social Scientists Now that Bayesian modeling has become standard, MCMC is well understood and trusted, and computing power continues to increase, Bayesian Methods: A Social and Behavioral Sciences Approach, Third...

    Published December 11th 2014 by Chapman and Hall/CRC

  5. Handbook of Missing Data Methodology

    Edited by Geert Molenberghs, Garrett Fitzmaurice, Michael G. Kenward, Anastasios Tsiatis, Geert Verbeke

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

    Missing data affect nearly every discipline by complicating the statistical analysis of collected data. But since the 1990s, there have been important developments in the statistical methodology for handling missing data. Written by renowned statisticians in this area, Handbook of Missing Data...

    Published November 6th 2014 by Chapman and Hall/CRC

  6. Introduction to Ecological Sampling

    Edited by Bryan F.J. Manly, Jorge A. Navarro Alberto

    Series: Chapman & Hall/CRC Applied Environmental Statistics

    An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling...

    Published October 20th 2014 by Chapman and Hall/CRC

  7. Hierarchical Modeling and Analysis for Spatial Data, Second Edition

    By Sudipto Banerjee, Bradley P. Carlin, Alan E. Gelfand

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

    Keep Up to Date with the Evolving Landscape of Space and Space-Time Data Analysis and Modeling Since the publication of the first edition, the statistical landscape has substantially changed for analyzing space and space-time data. More than twice the size of its predecessor, Hierarchical Modeling...

    Published September 12th 2014 by Chapman and Hall/CRC

  8. Statistical Inference

    An Integrated Approach, Second Edition

    By Helio S. Migon, Dani Gamerman, Francisco Louzada

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more balanced emphasis on...

    Published September 3rd 2014 by Chapman and Hall/CRC

  9. Statistical Methods in Biology

    Design and Analysis of Experiments and Regression

    By S.J. Welham, S.A. Gezan, S.J. Clark, A. Mead

    Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas...

    Published August 22nd 2014 by Chapman and Hall/CRC

  10. Stated Preference Methods Using R

    By Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato

    Series: Chapman & Hall/CRC The R Series

    Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates...

    Published August 15th 2014 by Chapman and Hall/CRC