Summary
Contents
Drawing on recent 'event history' analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression-like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.
Change of States
Change of States
In this chapter we shall consider a class of models that allows for both multiple kinds of events and repeated events. This class includes all the previously discussed continuous-time models as special cases. Known as Markov renewal or semi-Markov models, these models have been previously described in the social ...