Event History Analysis

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Paul D. Allison - University of Pennsylvania, University of Pennsylvania, USA

Volume: 46

Series:
Quantitative Applications in the Social Sciences

Other Titles in:
Quantitative/Statistical Research | Sociological Research Methods

88 pages | SAGE Publications, Inc

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.

Introduction

A Discrete-Time Method

Parametric Methods for Continuous-Time Data

Proportional Hazards and Partial Likelihood

Multiple Kinds of Events

Repeated Events

Change of States

Conclusion

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Paul D. Allison

Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches graduate courses in methods and statistics. He is also the founder and president of Statistical Horizons LLC which offers short courses on a wide variety of statistical topics.After completing his doctorate in sociology at the University of Wisconsin, he did postdoctoral study in statistics at the University of Chicago and the University of Pennsylvania. He has published eight books and more than 60 articles on topics that include linear regression, log-linear analysis, logistic regression, structural equation models, inequality measures,... More About Author

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