Abstract #301200

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JSM 2003 Abstract #301200
Activity Number: 470
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #301200
Title: Estimation of Sample Size for Reference Interval Studies
Author(s): James F. Troendle*+ and Kai Fun Yu
Companies: National Institutes of Health and National Institutes of Health
Address: 6428 Fairest Dream Ln., Columbia, MD, 21044-6023,
Keywords: bootstrap ; confidence interval ; reference interval ; sample size
Abstract:

The currently used criterion for sample size calculation in a reference interval study is not well stated and leads to imprecise control of the ratio in question. We propose a generalization of the criterion used to determine sufficient sample size in reference interval studies. The generalization allows better estimation of the required sample size when the reference interval estimation will be using a power transformation or is nonparametric. Bootstrap methods are presented to estimate sample sizes required by the generalized criterion. Simulation of several distributions both symmetric and positively skewed is presented to compare the sample size estimators. The new method is illustrated on a dataset of plasma glucose values from a 50-g oral glucose tolerance test. It is seen that the sample sizes calculated from the generalized criterion leads to more reliable control of the desired ratio.

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