Synopses & Reviews
Synopsis
Chapter 1. Stochastic Models of Cell Proliferation Kinetics based on Branching Processes.- Chapter 2. Age-Dependent Branching Processes with Non-Homogeneous Poisson Immigration as Models of Cell Kinetics.- Chapter 3. A Study of the Correlation Structure of Microarray Gene Expression Data Based on Mechanistic Modeling of Cell Population Kinetics.- Chapter 4. Correlation Between the True and False Discoveries in a Positively Dependent Multiple Comparison Problem.- Chapter 5. Multiple Testing Procedures: Monotonicity and Some of Its Implications.- Chapter 6. Applications of Sequential Methods in Multiple Hypothesis Testing.- Chapter 7. Multistage Carcinogenesis: A Unified Framework for Cancer Data Analysis.- Chapter 8. A Machine-Learning Algorithm for Estimating and Ranking the Impact of Environmental Risk Factors in Exploratory Epidemiological Studies.- Chapter 9. A Latent Time Distribution Model for the Analysis of Tumor Recurrence Data: Application to the Role of Age in Breast Cancer.- Chapter 10. Estimation of Mean Residual Life.- Chapter 11. Likelihood Transformations and Artificial Mixtures.- Chapter 12. On the Application of Flexible Designs when Searching for the Better of Two Anticancer Treatments.- Chapter 13. Parameter Estimation for Multivariate Nonlinear Stochastic Differential Equation Models: A Comparison Study.- Chapter 14. On Frailties, Archimedean Copulas and Semi-Invariance Under Truncation.- Chapter 15. The Generalized ANOVA - A Classic Song Sung with Modern Lyrics.- Chapter 16. Analyzing Gene Pathways from Microarrays to Sequencing Platforms.- Chapter 17. A New Approach for Quantifying Uncertainty in Epidemiology.- Chapter 18. Branching Processes: A Personal Historical Perspective.- Chapter 19. Principles of Mathematical Modeling in Biomedical Sciences: An Unwritten Gospel of Andrei Yakovlev.