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Applied Longitudinal Data AnalysisModeling Change and Event Occurrence$
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Judith D. Singer and John B. Willett

Print publication date: 2003

Print ISBN-13: 9780195152968

Published to Oxford Scholarship Online: September 2009

DOI: 10.1093/acprof:oso/9780195152968.001.0001

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A Framework for Investigating Event Occurrence

A Framework for Investigating Event Occurrence

Chapter:
(p.305) 9 A Framework for Investigating Event Occurrence
Source:
Applied Longitudinal Data Analysis
Author(s):

Judith D. Singer

John B. Willett

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195152968.003.0009

This chapter introduces the essential features of event occurrence data, explaining how and why they create the need for new analytic methods. Section 9.1 provides a context by describing three studies of event occurrence, each conducted in a different discipline. Section 9.2 identifies the three major methodological features of each study: a well-defined “event” whose occurrence is being explored; a clearly identified “beginning of time”; and a substantively meaningful metric for clocking time. Section 9.3 concludes by highlighting the hallmark feature of event occurrence data that makes the new statistical methods we soon discuss necessary—the problem known as censoring.

Keywords:   event occurrence data, time, censoring, analytic methods, statistical methods

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