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Activity Number: 385 - SPEED: Statistical Methods and Applications in Medical Research, Risk Analysis, and Marketing Part 1
Type: Contributed
Date/Time: Wednesday, August 10, 2022 : 8:30 AM to 10:20 AM
Sponsor: Section on Medical Devices and Diagnostics
Abstract #323662
Title: Extending the Weighted Generalized Score Statistic for Comparison of Correlated Means
Author(s): Aaron D. Jones* and Andrzej S. Kosinski
Companies: Duke University and Duke University
Keywords: Correlated Data; Diagnostic Testing; Generalized Estimating Equations; Generalized Score Statistic; Negative/Positive Predictive Values; Weighted Generalized Score

The generalized score (GS) statistic is widely used to test hypotheses about mean model parameters in the generalized estimating equation (GEE) framework, but in a comparison of predictive values of diagnostic tests or any correlated proportions with unbalanced group sizes, GS has been shown neither to adequately control type I error nor to reduce to the score statistic under independence. Applying weights to the residuals in empirical variance estimation produces a weighted generalized score (WGS) statistic that has been shown to resolve these issues and is now used in the diagnostic testing literature. This talk discusses extensions of WGS to the more general problem of comparisons of correlated means with distributions and/or link functions other than binary and logit. Theoretical, simulated, and real data results are provided.

Authors who are presenting talks have a * after their name.

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