Introducing Survival and Event History Analysis

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.Key features of this book include:- Data preparation and censored data- Comparing survival curves and Kaplan-Meier estimation- Model development, selection and diagnostic methods- Inclusion of time-varying covariates- Competing risks- Modeling strategies for unobserved heterogeneity, frailty models- Recent advances in event history techniques - including multilevel event history models and the study of recurrent events- Exercises and summaries for each chapter- Practical integration of examples and a blueprint for the entire research path- A wide range of supportive materials are available to download at the companion website, including the example data sets and various programming files for different computer programs (R, STATA, SPSS), plus study and teaching materialMelinda Mills (PhD Demography) is a Professor of Sociology at the University of Groningen in the Netherlands where she teaches courses in survival and event history analysis. She is the Editor of International Sociology (journal of the International Sociological Association), member of the Life History Analysis group of the European Science Foundation's (ESF) Quantitative Methods in the Social Sciences program and a Steering Committee Member of the ESF TransEurope Research Project.