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Introducing Survival and Event History Analysis
- Melinda Mills - University of Groningen, Netherlands
January 2011 | 300 pages | SAGE Publications Ltd
Introducing Survival and Event History Analysis is an accessible, practical and comprehensive guide for researchers from multiple disciplines including biomedical, epidemiology, engineering and the social sciences.
Written for accessibility, this book will appeal to students and researchers 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, conversations with key scholars and resources for both students and instructors, Introducing Survival and Event History Analysis allows researchers to quickly master advanced statistical techniques. This unique book is written from the perspective of the "user," making it suitable as both a self-learning tool and graduate-level textbook.
Introducing Survival and Event History Analysis covers up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events, and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.
Written for accessibility, this book will appeal to students and researchers 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, conversations with key scholars and resources for both students and instructors, Introducing Survival and Event History Analysis allows researchers to quickly master advanced statistical techniques. This unique book is written from the perspective of the "user," making it suitable as both a self-learning tool and graduate-level textbook.
Introducing Survival and Event History Analysis covers up-to-date innovations in the field, including advancements in the assessment of model fit, unobserved heterogeneity, recurrent events, and multilevel event history models. Practical instructions are also included for using the statistical programs of R, STATA and SPSS, enabling readers to replicate the examples described in the text.
The Fundamentals of Survival and Event History Analysis
Using R and Other Computer Programs for Survival and Event History Analysis
Your First Session: Using the Survival Package and Exploring Data Via Descriptive Statistics and Graphs
Data and Data Reconstruction
Non-Parametric Methods: Estimating and Comparing Survival Curves Using the Kaplan-Meier Estimator
The Cox Proportional-Hazards Regression
Parametric Models
Model Building and Diagnostics
Correlated and Discrete-Time Survival Data: Frailty, Recurrent Events and Discrete-Time Models
Multiple Events and Entire Histories: Competing Risk, Multistate Models and Sequence Analysis
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
Methodspace
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.
School of Sociology, University College Dublin
May 16, 2018
Provides a great introduction to Survival analysis.
Communications Dept, Florida State University
October 5, 2011
