Pub. date: 2009 | Online Pub. Date: October 05, 2009 | DOI: 10.4135/9780857020994 | Print ISBN: 9781412930918 | Online ISBN: 9780857020994| Publisher:SAGE Publications LtdAbout this handbook
Chapter 27: Event History Analysis
Jeroen K. Vermunt
Event history analysis The aim of event history analysis is to explain why certain individuals are at a higher risk than others of experiencing the event(s) of interest. This can be accomplished by using special types of methods which, depending on the field in which they are applied, are called failure-time models, lifetime models, survival models, transition-rate models, response-time models, event history models, duration models, or hazard models. Examples of textbooks discussing this class of techniques are Allison(1984), Blossfeld and Rohwer (1995), Kalbfleish and Prentice (1980), Lancaster (1990), Singer and Willett (2003), Tuma and Hannan (1984), Vermunt (1997), and Yamaguchi (1991). Here, I will use the terms event history, survival, and hazard models interchangeably. A hazard model is a regression model in which the “risk” of experiencing an event at a certain time point is predicted with a set of covariates. Two special features distinguish hazard models from other types ...