Introducing Survival and Event History Analysis
- Melinda Mills - University of Groningen, Netherlands
Introducing Survival Analysis and Event History Analysis is an accessible, practical and comprehensive guide for researchers and students who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics.
Engaging, easy to read, functional and packed with enlightening examples, 'hands-on' exercises and resources for both students and instructors, Introducing Survival Analysis and Event History Analysis allows researchers to quickly master these advanced statistical techniques. This book is written from the perspective of the 'user', making it suitable as both a self-learning tool and graduate-level textbook.
Introducing Survival Analysis and Event History Analysis covers the most up-to-date innovations in the field, including advancements in the assessment of model fit, frailty and recurrent event models, discrete-time methods, competing and multistate models and sequence analysis. Practical instructions are also included, focusing on the statistical program R and Stata, enabling readers to replicate the examples described in the text.
This book comes with a glossary, a range of practical and user-friendly examples, cases and exercises.
This book is very useful for researchers and students
in different scientific areas – social sciences and humanities, medicine, in
general every science where studies measuring time changes in variables are
conducted...As the author explains, this book is written from the
perspective of an absolute beginner – comprehensible and with a lot of examples
in the text, tables and graphs. It goes beyond an introductory textbook on this
topic, because it presents not only non-parametric models, semi-parametric
models, parametric models, model-building and model diagnostics, but it is focused also on some more recent techniques like frailty and recurrent event
history models, discrete-time models, multistate models, competing risk
analysis and sequence analysis...Everyone who would like to start with Survival and
Event History analysis or to get more knowledge of Survival and Event History
analysis could do this by reading this book
Stanislava Yordanova Stoyanova
Excellent basic resource for students at the graduate level. The real plus is the reference to both R and Stata, which is a pragmatic approach given the current state of affairs when it comes to software.
Provides a great introduction to Survival analysis.