chapter 1 Microarray Data Analysis / chapter 2 Machine Learning Techniques for Bioinformatics: Fundamentals and Applications / chapter 3 Machine Learning Methods for Cancer Diagnosis and Prognostication / chapter 4 Protein Profiling for Disease Proteomics with Mass Spectrometry: Computational Challenges / chapter 5 Predicting US Cancer Mortality Counts Using State Space Models. and Ahmedin Jemal / chapter 6 Analyzing Multiple Failure Time Data Using SAS® Software / chapter 7 Mixed-Effects Models for Longitudinal Virologic and Immunologic HIV Data / chapter 8 Bayesian Computational Methods in Biomedical Research -- chapter 9 Sequential Monitoring of Randomization Tests / chapter 10 Proportional Hazards Mixed-Effects Models and Applications / chapter 11 Classification Rules for Repeated Measures Data from Biomedical Research / chapter 12 Estimation Methods for Analyzing Longitudinal Data Occurring in Biomedical Research