Biostatistical Methods

  • Stephen W. Looney

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

Table of contents

  1. Front Matter
    Pages i-xii
  2. Emmanuel N. Lazaridis, Gregory C. Bloom
    Pages 1-14
  3. Gregory C. Bloom, Peter Gieser, Emmanuel N. Lazaridis
    Pages 15-27
  4. Peter Gieser, Gregory C. Bloom, Emmanuel N. Lazaridis
    Pages 29-49
  5. Françoise Seillier-Moiseiwitsch, Donald C. Trost, Julian Moiseiwitsch
    Pages 51-80
  6. Stephen W. Looney
    Pages 81-109
  7. Peter W. Jones, Richard C. Strange, Sud Ramachandran, Anthony Fryer
    Pages 131-142
  8. Peter H. Westfall, Dmitri V. Zaykin, S. Stanley Young
    Pages 143-168
  9. Back Matter
    Pages 203-214

About this book


The use of biostatistical techniques in molecular biology has grown tremendously in recent years and is now essential for the correct interpretation of a wide variety of laboratory studies. In Biostatistical Methods, a panel of leading biostatisticians and biomedical researchers describe all the key techniques used to solve commonly occurring analytical problems in molecular biology, and demonstrate how these methods can identify new markers for exposure to a risk factor, or for determining disease outcomes. Major areas of application include microarray analysis, proteomic studies, image quantitation, determining new disease biomarkers, and designing studies with adequate levels of statistical power. In the case of genetic effects in human populations, the authors describe sophisticated statistical methods to control the overall false-positive rate when many statistical tests are used in linking particular alleles to the occurrence of disease. Other methods discussed are those used to validate statistical approaches for analyzing the E-D association, to study the associations between disease and the inheritance of particular genetic variants, and to examine real data sets. There are also useful recommendations for statistical and data management software (JAVA, Oracle, S-Plus, STATA, and SAS) .
Accessible, state-of-the-art, and highly practical, Biostatistical Methods provides an excellent starting point both for statisticians just beginning work on problems in molecular biology, and for all molecular biologists who want to use biostatistics in genetics research designed to uncover the causes and treatments of disease.

Editors and affiliations

  • Stephen W. Looney
    • 1
  1. 1.University of Louisville School of MedicineLouisville

Bibliographic information

  • DOI
  • Copyright Information Humana Press 2002
  • Publisher Name Humana Press
  • eBook Packages Springer Protocols
  • Print ISBN 978-0-89603-951-3
  • Online ISBN 978-1-59259-242-5
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site