Multi-State Survival Models for Interval-Censored Data

Explore the intricate world of stochastic processes with Multi-State Survival Models for Interval-Censored Data by Ardo van den Hout. Published by Taylor & Francis Inc in 2016, this insightful hardback spans 256 pages and is designed for researchers in medical statistics, epidemiology, demography, and social statistics. This comprehensive guide introduces innovative methods to analyze transitions between states over time, making it an essential resource for those looking to deepen their understanding of multivariate analysis. Whether you're a seasoned statistician or a newcomer to the field, this book provides valuable insights and practical approaches to tackling interval-censored data. Enhance your research toolkit with this authoritative text and uncover the complexities of survival models in various applications.