Confidence interval estimating procedures for standardized incidence rates

Authors:
Hon Keung Tony Ng;Giovanni Filardo;Gang Zheng
Affiliations:
Department of Statistical Science, Southern Methodist University, Dallas, TX 75275, USA;Department of Statistical Science, Southern Methodist University, Dallas, TX 75275, USA and Institute for Health Care Research and Improvement, Baylor Research Institute, Dallas, TX 75206, USA;Office of Biostatistics Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA
Venue:
Computational Statistics & Data Analysis
Year:
2008

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Abstract

Performances of some common confidence interval construction procedures for direct standardized incidence or mortality rate were compared. The asymptotic method, the method based on matching moments, the method based on gamma distribution and the method based on beta distribution were investigated through Monte Carlo simulations based on data from an epidemiologic study of cardiovascular disease and randomly generated scenarios. These interval estimation procedures, as well as some mixed procedures developed for the present study, were evaluated in terms of their coverage probability and expected length.