Event history analysis: regression for longitudinal event data / Paul D.Allison

By:

Allison, Paul D

Material type: Text

TextLanguage: English Publication details: Sage, 1984. California:Description: 87 pISBN:

9780803920552

Subject(s):

DDC classification:

300.727 ALL-E

Summary: 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.

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Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Library, SPAB Small	300.727 ALL-E (Browse shelf(Opens below))	Available		003047

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Previous	300.727 ALD-C Cluster analysis /	300.727 ALD-L Linear probability, logit and probit models	300.727 ALL-D Fixed effects regression models	300.727 ALL-E Event history analysis: regression for longitudinal event data /	300.727 ALL-M Missing data	300.727 AND-M Modern methods for robust regression	300.727 AND-R Rasch models for measurment	Next

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.

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