Comparing standardized rates of events.
This paper reviews issues associated with testing a null hypothesis of the equality of, and generating descriptive statistics for, standardized rates of events-recurrent or non-recurrent.
The variance estimation for rates of surgical procedures, hospitalizations, and health care expenditures is discussed in the context of small area analysis.
The proposed approach for estimating the variance of standardized rates is independent of assumptions about the underlying distribution of rates, is widely applicable, and seems preferable to approaches derived under special, but uncertain, parametric assumptions.
A statistic is suggested based on person-level data, which allows comparing both rates of events and variation in rates between independent groups.
Mots-clés Pascal : Epidémiologie, Méthodologie, Modèle statistique
Mots-clés Pascal anglais : Epidemiology, Methodology, Statistical model
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 94-0647079
Code Inist : 002B30A01A1. Création : 09/06/1995.