Event History Analysis: Regression for Longitudinal Event Data

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.

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 "people" events.

Paul D. Allison is Professor of Sociology at the University of Pennsylvania, where he teaches graduate methods and statistics. He is widely recognized as an extraordinarily effective teacher of statistical methods who can reach students with highly diverse backgrounds and expertise, and is the author of numerous books and journal articles. A former Guggenheim fellow, he is on the editorial boards of Sociological Methods and Research, American Journal of Sociology and Sociological Forum.