Master cutting-edge dynamical biostatistical models for analyzing complex longitudinal data. This comprehensive guide explores advanced methods for repeated measures, event history, survival, and multistate modeling, with practical applications using SAS and R software. Discover a unified stochastic process perspective and modern causal inference techniques. Essential for biostatistics students, epidemiologists, and researchers in India, this book equips you with vital analytical tools for impactful public health and medical research.