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Biostatistical Methods

  • Book
  • © 2002

Overview

Editors:
  1. Stephen W. Looney

    1. University of Louisville School of Medicine, Louisville

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Part of the book series: Methods in Molecular Biology (MIMB, volume 184)

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Table of contents (10 protocols)

  1. Front Matter

    Pages i-xii
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  2. Statistical Contributions to Molecular Biology

    • Emmanuel N. Lazaridis, Gregory C. Bloom
    Pages 1-14

  3. Linking Image Quantitation and Data Analysis

    • Gregory C. Bloom, Peter Gieser, Emmanuel N. Lazaridis
    Pages 15-27

  4. Introduction to Microarray Experimentation and Analysis

    • Peter Gieser, Gregory C. Bloom, Emmanuel N. Lazaridis
    Pages 29-49

  5. Statistical Methods for Proteomics

    • Françoise Seillier-Moiseiwitsch, Donald C. Trost, Julian Moiseiwitsch
    Pages 51-80

  6. Statistical Methods for Assessing Biomarkers

    • Stephen W. Looney
    Pages 81-109

  7. Power and Sample Size Considerations in Molecular Biology

    • L. Jane Goldsmith
    Pages 111-130

  8. Models for Determining Genetic Susceptibility and Predicting Outcome

    • Peter W. Jones, Richard C. Strange, Sud Ramachandran, Anthony Fryer
    Pages 131-142

  9. Multiple Tests for Genetic Effects in Association Studies

    • Peter H. Westfall, Dmitri V. Zaykin, S. Stanley Young
    Pages 143-168

  10. Statistical Considerations in Assessing Molecular Markers for Cancer Prognosis and Treatment Efficacy

    • James Dignam, John Bryant, Soonmyung Paik
    Pages 169-189

  11. Power of the Rank Test for Multi-Strata Case-Control Studies with Ordinal Exposure Variables

    • Grzegorz A. Rempala, Stephen W. Looney
    Pages 191-202

  12. Back Matter

    Pages 203-214
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About this book

Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size.

Reviews

"The book presents the reader with a representative sampling of biostatistical applications that are used in the study of molecular biology with an emphasis on the development of biomarkers for clinical applications." - Biotech Software & Internet Report

"In 10 chapters the authors fulfill the aim to provide sufficient information to cover area of both biostatistics and molecular biology...authors pay attention to give accurate explanation of basic biological and statistical terms. This is worthwhile for statisticians who want to work in molecular biology and for molecular biologists to be in touch with recent advances in comprehensive high-throughput laboratory methods." -Neoplasma

"...an excellent overview of the most promising statistical approaches for analyzing microarray data...recommended to be read both by molecular biologists and biostatisticians." - Statist. Med.

Editors and Affiliations

  • University of Louisville School of Medicine, Louisville

    Stephen W. Looney

Bibliographic Information

  • Book Title: Biostatistical Methods

  • Editors: Stephen W. Looney

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1385/1592592422

  • Publisher: Humana Totowa, NJ

  • eBook Packages: Springer Protocols

  • Copyright Information: Humana Press 2002

  • Hardcover ISBN: 978-0-89603-951-3Published: 01 December 2001

  • Softcover ISBN: 978-1-61737-271-1Published: 10 November 2010

  • eBook ISBN: 978-1-59259-242-5Published: 03 February 2008

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 1

  • Number of Pages: XII, 216

  • Topics: Cell Biology

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