Event History Analysis : Regression for Longitudinal Event Data (Quantitative Applications in the Social Sciences)

Allison, Paul D.

ISBN 10: 0803920555 / ISBN 13: 9780803920552

Verlag: SAGE Publications, Inc, Newbury Park, California, U.S.A., 1984

Beschreibung

Minor wear. Previous owner's name written on first page. Binding tight, pages clean. Pictures available upon request.

Bestandsnummer des Verkäufers 030417

Bibliografische Details

• Titel: Event History Analysis : Regression for Longitudinal Event Data (Quantitative Applications in the Social Sciences)
• Verlag: SAGE Publications, Inc, Newbury Park, California, U.S.A.
• Erscheinungsjahr: 1984
• Sprache: Englisch
• ISBN-10: 0803920555
• ISBN-13: 9780803920552
• Einband: Soft cover
• Auflage: 1st Edition.
• Zustand: Very Good
• Verkäuferkataloge:
  • Non-Fiction

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

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.”