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Activity Number: 308 - Adaptive Design - 2
Type: Contributed
Date/Time: Tuesday, July 31, 2018 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract #329595 Presentation
Title: Informative Grouping for Regression
Author(s): Juexin Lin* and Dewei Wang
Companies: University of South Carolina and University of South Carolina
Keywords: Group testing; Informative grouping; Logistic regression; Sensitivity and specificity

Screening for a binary characteristic, for example, an infectious disease, group testing, where specimens are tested in groups initially, has been shown can reduce substantial cost. In the past, different group testing protocols were designed in order to archive more precision prevalence estimates. In this article, we proposed a two-step adaptive grouping strategy from the perspective of estimation intending for more efficient regression estimators. Rather than random pooling, we construct the groups of the individual with similar covariates information by the use of Fisher information. Our research shows that the regression performance under proposed informative grouping beats the individual testing and group testing with random pooling in terms of generalized variance.

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

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