Biostatistical Methods [Hardcover]

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.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.1 Statistical Contributions to Molecular BiologyEmmanuel N. Lazaridis and Gregory C. Bloom2 Linking Image Quantitation and Data AnalysisGregory C. Bloom, Peter Gieser, and Emmanuel N. Lazaridis3 Introduction to Microarray Experimentation and AnalysisPeter Gieser, Gregory C. Bloom, and Emmanuel N. Lazaridis4 Statistical Methods for ProteomicsFran?oise Seillier-Moiseiwitsch, Donald C. Trost, and Julian Moiseiwitsch5 Statistical Methods for Assessing BiomarkersStephen W. Looney6 Power and Sample Size Considerations in Molecular BiologyL. Jane Goldsmith7 Models for Determining Genetic Susceptibility and Predicting OutcomePeter W. Jones, Richard C. Strange, Sud Ramachandran, and Anthony A. Fryer8 Multiple Tests for Genetic Effects in Association StudiesPeter H. Westfall, Dmitri V. Zaykin, and S. Stanley Young9 Statistical Considerations in Assessing Molecular Markers for Cancer Prognosis and Treatment EfficacyJames J. Dignam, John Bryant, and Soonmyung Paik10 Power of the Rank Test for Muli