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.
Parametric Methods for Continuous-Time Data
Parametric Methods for Continuous-Time Data
Although the discrete-time method just discussed is widely applicable, most event history analysis is done using continuous-time methods. In this chapter we shall examine some of the more popular parametric methods for data in which time is measured precisely. These methods are called parametric because every aspect of ...