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Estimation of Finite Population Duration Distributions from Longitudinal Survey Panels with Intermittent Followup
Abstract
We consider survival or duration times associated with spells (sojourns in some state) or events experienced
by individuals in a population over a specified time period. Duration distributions can be
estimated from data recorded during followup of panel members in longitudinal surveys, but adjustments
for the sample design, population structure and losses to followup are typically required. We
provided weighted Kaplan-Meier estimates that allow for these features and, in particular, adjust for
dependent loss to followup through the use of inverse probability of censoring weights.
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Cite this version of the work
Jerald F. Lawless
(2013).
Estimation of Finite Population Duration Distributions from Longitudinal Survey Panels with Intermittent Followup. UWSpace.
http://hdl.handle.net/10012/11012
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