Four-parameter paired response curve for serial dilution assays. Issue 5 (3rd September 2021)

• Record Type: Journal Article
• Authors: Fong, Youyi; Permar, Sallie R.; Tomaras, Georgia D.
• Is Part Of: Journal of biopharmaceutical statistics. Volume 31:Issue 5(2021)
• Page Start: 634
• Page End: 649
• Publication Date: 2021-09-03
• Subjects: Pharmacy -- Statistical methods -- Periodicals; Drugs -- Testing -- Statistical methods -- Periodicals; Biometry -- Periodicals; Biopharmaceutics -- Periodicals; Pharmacokinetics -- Periodicals; 615.19
• DOI: 10.1080/10543406.2021.1931271
• Languages: English
• ISSNs: 1054-3406

Abstract

ABSTRACT: Newer immunoassay platforms offer improved signal-to-noise ratio but are more expensive. Thus, it is more cost efficient to perform these assays at a few selected, rather than a full series of, sample dilutions. We propose a new four-parameter paired response curve to model the relationship between assay outcomes from two sample dilutions and study likelihood-based inference. Given a fitted paired response curve, we can predict assay outcomes for de novo dilutions of samples, which enables cross-protocol comparison of immune response biomarkers even when different protocols use different sample dilutions. Numerical studies on both simulated and real data are presented.