Looney Biostatistical Methods

2002
ISBN: 978-1-59259-242-5
Verlag: Humana Press
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 184, 216 Seiten, eBook

Reihe: Methods in Molecular Biology

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.

Zielgruppe

Research

Autoren/Hrsg.

Looney, Stephen W.

Inhaltsverzeichnis

1 Statistical Contributions to Molecular Biology Emmanuel N. Lazaridis and Gregory C. Bloom 2 Linking Image Quantitation and Data Analysis Gregory C. Bloom, Peter Gieser, and Emmanuel N. Lazaridis 3 Introduction to Microarray Experimentation and Analysis Peter Gieser, Gregory C. Bloom, and Emmanuel N. Lazaridis 4 Statistical Methods for Proteomics Françoise Seillier-Moiseiwitsch, Donald C. Trost, and Julian Moiseiwitsch 5 Statistical Methods for Assessing Biomarkers Stephen W. Looney 6 Power and Sample Size Considerations in Molecular Biology L. Jane Goldsmith 7 Models for Determining Genetic Susceptibility and Predicting Outcome Peter W. Jones, Richard C. Strange, Sud Ramachandran, and Anthony A. Fryer 8 Multiple Tests for Genetic Effects in Association Studies Peter H. Westfall, Dmitri V. Zaykin, and S. Stanley Young 9 Statistical Considerations in Assessing Molecular Markers for Cancer Prognosis and Treatment Efficacy James J. Dignam, John Bryant, and Soonmyung Paik 10 Power of the Rank Test for Multi-Strata Case-Control Studies with Ordinal Exposure Variables Grzegorz A. Rempala and Stephen W. Looney