Estimating the variance of standardized rates of recurrent events, with application to hospitalizations among the elderly in New England.
Usual approaches for estimating the variance of a standardized rate may not be applicable to rates of recurrent events.
Where individuals are prone to repeated health events, Greenwood and Yule (J R Stat Soc [A], 1920;83:255-79) advocated use of the negative binomial distribution to account for departures from the assumption of randomness of recurrent events required by the Poisson distribution.
In this paper, the authors implemented the negative binomial distribution in the computation of annual hospitalization rates within certain hospital market areas.
Data used were from 1,549,915 New England residents aged 65 years or more who were enrolled in Medicare between October 1, 1988, and September 30, 1989, and who had 458,593 hospital admissions during that year.
Mots-clés Pascal : Epidémiologie, Hospitalisation, Méthodologie, Modèle statistique, Vieillard, Homme, Variation géographique, Etats Unis, Amérique du Nord, Amérique
Mots-clés Pascal anglais : Epidemiology, Hospitalization, Methodology, Statistical model, Elderly, Human, Geographical variation, United States, North America, America
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Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 93-0499723
Code Inist : 002B30A01A1. Création : 199406.