A Framework for Investigating Event Occurrence

Judith D. Singer and John B. Willett

in Applied Longitudinal Data Analysis

Published in print May 2003 | ISBN: 9780195152968
Published online September 2009 | e-ISBN: 9780199864980 | DOI:
A Framework for Investigating Event Occurrence

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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

Chapter.  8077 words.  Illustrated.

Subjects: Public Health and Epidemiology

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