Modeling the rate of HIV testing from repeated binary data amidst potential never-testers

• Published in: Biostatistics (Oxford, England) Vol. 20; no. 2; pp. 183 - 198
• Main Authors: Rice, John D, Johnson, Brent A, Strawderman, Robert L
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.04.2019
• Subjects: Adult; Biostatistics - methods; HIV Infections - diagnosis; HIV Infections - prevention & control; Homosexuality, Male; Humans; Longitudinal Studies; Male; Mass Screening - statistics & numerical data; Models, Statistical; Patient Acceptance of Health Care - statistics & numerical data; Reminder Systems; Text Messaging; Power variance function; HIV testing; Binary longitudinal data; Recurrent events; Frailty models

SUMMARY Many longitudinal studies with a binary outcome measure involve a fraction of subjects with a homogeneous response profile. In our motivating data set, a study on the rate of human immunodeficiency virus (HIV) self-testing in a population of men who have sex with men (MSM), a substantial pro...