Statistical models and methods in lifespan data

Author: lawless
Publisher:
Publish Date: 1998-03-01
Features: This book has three main features. First, it focuses on methods with theory as a supplement. The theory presented is limited to explaining methods and is mostly concentrated in the appendices. The methods listed in the book are still the main approaches for handling survival data. Second, it pays attention to explaining the models and assumptions that introduce each method, making the application conditions of each method clear. When multiple methods exist under one model, the author also provides comparisons of their advantages and disadvantages, offering guidelines for selection. Third, it is highly practical. The book includes dozens of real-world data examples with detailed analysis and numerical calculations, presenting final results and processes that are very enlightening. This makes it an ideal choice for professionals in engineering and medical fields who are involved in survival data analysis. The book can also serve as a textbook for graduate students in this field. The book primarily covers basic concepts and models, life tables, graphs and related methods, statistical methods for the exponential distribution, inference methods for the Weibull and extreme value distributions, inference methods for several other models, parametric regression models, non-parametric and distribution-free regression models, goodness-of-fit tests, multivariate models, and random process models.