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Statistics for the Biological Sciences Books

You are currently browsing 21–30 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 3

  1. Foundational and Applied Statistics for Biologists Using R

    By Ken A. Aho

    Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment...

    Published December 16th 2013 by Chapman and Hall/CRC

  2. Benefit-Risk Assessment in Pharmaceutical Research and Development

    Edited by Andreas Sashegyi, James Felli, Rebecca Noel

    Series: Chapman & Hall/CRC Biostatistics Series

    Many practitioners in the pharmaceutical industry are still largely unfamiliar with benefit-risk assessment, despite its growing prominence in drug development and commercialization. Helping to alleviate this knowledge gap, Benefit-Risk Assessment in Pharmaceutical Research and Development provides...

    Published November 26th 2013 by Chapman and Hall/CRC

  3. Richly Parameterized Linear Models

    Additive, Time Series, and Spatial Models Using Random Effects

    By James S. Hodges

    Series: Chapman & Hall/CRC Texts in Statistical Science

    A First Step toward a Unified Theory of Richly Parameterized Linear Models Using mixed linear models to analyze data often leads to results that are mysterious, inconvenient, or wrong. Further compounding the problem, statisticians lack a cohesive resource to acquire a systematic, theory-based...

    Published November 3rd 2013 by Chapman and Hall/CRC

  4. Statistical Analysis of Human Growth and Development

    By Yin Bun Cheung

    Series: Chapman & Hall/CRC Biostatistics Series

    Statistical Analysis of Human Growth and Development is an accessible and practical guide to a wide range of basic and advanced statistical methods that are useful for studying human growth and development. Designed for nonstatisticians and statisticians new to the analysis of growth and...

    Published October 27th 2013 by Chapman and Hall/CRC

  5. Theory of Drug Development

    By Eric B. Holmgren

    Series: Chapman & Hall/CRC Biostatistics Series

    Theory of Drug Development presents a formal quantitative framework for understanding drug development that goes beyond simply describing the properties of the statistics in individual studies. It examines the drug development process from the perspectives of drug companies and regulatory agencies....

    Published October 23rd 2013 by Chapman and Hall/CRC

  6. Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

    By Michael Smithson, Edgar C. Merkle

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

    Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral, social, health, and medical sciences. It incorporates examples of truncated counts, censored continuous variables, and doubly bounded continuous...

    Published September 4th 2013 by Chapman and Hall/CRC

  7. Incomplete Categorical Data Design

    Non-Randomized Response Techniques for Sensitive Questions in Surveys

    By Guo-Liang Tian, Man-Lai Tang

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

    Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially...

    Published August 16th 2013 by Chapman and Hall/CRC

  8. Bayesian Methods in Epidemiology

    By Lyle D. Broemeling

    Series: Chapman & Hall/CRC Biostatistics Series

    Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint. It employs the software package WinBUGS to carry out the analyses and offers the code in the text and for...

    Published August 12th 2013 by Chapman and Hall/CRC

  9. Biosimilars

    Design and Analysis of Follow-on Biologics

    By Shein-Chung Chow

    Series: Chapman & Hall/CRC Biostatistics Series

    As many biological products face losing their patents in the next decade, the pharmaceutical industry needs an abbreviated regulatory pathway for approval of biosimilar drug products, which are cost-effective, follow-on/subsequent versions of the innovator’s biologic products. But scientific...

    Published July 28th 2013 by Chapman and Hall/CRC

  10. Statistical and Computational Methods in Brain Image Analysis

    By Moo K. Chung

    Series: Chapman & Hall/CRC Mathematical and Computational Imaging Sciences Series

    The massive amount of nonstandard high-dimensional brain imaging data being generated is often difficult to analyze using current techniques. This challenge in brain image analysis requires new computational approaches and solutions. But none of the research papers or books in the field describe...

    Published July 22nd 2013 by CRC Press