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.

A Discrete-Time Method

This chapter introduces discrete-time methods for unrepeated events of a single kind. While this is among the simplest situations, it involves many of the fundamental ideas that are central to more complex forms of data. At the same time, the method to be described is eminently practical and can be applied in a great many situations. It can also be ...

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