Provides a sample of applications of biostatistics to commonly occurring analytical problems in molecular biology. The ten papers are arranged in the order in which the methods of analysis would be utilized in developing a new marker for exposure to a risk factor or for a disease outcome. The contributors describe microarray analysis and proteomics, discuss power and sample size considerations, and present models for determining genetic susceptibility and predicting outcome. Statistical issues related to the assessment of molecular markers for cancer prognosis and treatment efficacy are also covered. Annotation c. Book News, Inc., Portland, OR (booknews.com)