Event History Analysis : Regression for Longitudinal Event Data

Allison, Paul D.

ISBN 10: 0803920555 / ISBN 13: 9780803920552

Published by SAGE Publications, Inc (edition 1), 1984

About this Item

The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

Seller Inventory # 0803920555-7-1

Bibliographic Details

• Title: Event History Analysis : Regression for Longitudinal Event Data
• Publisher: SAGE Publications, Inc (edition 1)
• Publication Date: 1984
• Language: English
• ISBN 10: 0803920555
• ISBN 13: 9780803920552
• Binding: Paperback
• Edition: 1.
• Condition: Fair

About this title

Synopsis

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.

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About the Author

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, missing data, and survival analysis.

Much of his early research focused on career patterns of academic scientists. At present, his principal research is on methods for analyzing longitudinal data, especially those for determining the causes and consequences of events, and on methods for handling missing data.

A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology. In 2010 he was named a Fellow of the American Statistical Association. He is also a two-time winner of the American Statistical Association’s award for “Excellence in Continuing Education.”