American Statistical Association
Health disparities are differences in health status across socioeconomic groups. Analytic methods, such as the Taylor series approximation method, are commonly used to estimate the standard errors of estimated measures of health disparities, and to construct confidence intervals for these measures. However, the confidence intervals constructed using these methods do not have good coverage properties for situations involving sparse data. In this presentation we introduce a new method to construct confidence intervals for measures of health disparities based on approximate fiducial quantities. We use a simulation study to compare the coverage properties of the 95% confidence intervals constructed using the two types of methods. Based on the results of the simulation study, we recommend the use of the new method for the construction of confidence intervals for measures of health disparities.
|Date:||Wednesday, April 25, 2018|
|Time:||4:00 - 5:00 P.M.|
Memorial Sloan Kettering Cancer Center
Department of Epidemiology and Biostatistics
485 Lexington Avenue
(Between 46th & 47th Streets)
2nd Floor, Conference Room B
New York, New York
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