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Estimating processes of counts from cross-sectional aggregate data, with an application to multistate life tables and health expectancies

Heathcote, Christopher R.; Puza, Borek


This paper discusses the estimation of time-dependent probabilities of a finite state-space discrete-time process using aggregate cross-sectional data. A large-sample version of multistate logistic regression is described and shown to be useful for analysing multistate life tables. The technique is applied to the estimation of disability-free, severely disabled and other disabled survival curves and health expectancies in Australia, based on data from national health surveys in 1988, 1993 and...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
Source: Australian and New Zealand Journal of Statistics
DOI: 10.1111/j.1467-842X.2005.00406.x


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