Analysis of censored longitudinal data with skewness and a terminal event. Issue 7 (9th August 2017)

• Record Type: Journal Article
• Authors: Su, Xiao; Luo, Sheng
• Is Part Of: Communications in statistics. Volume 46:Issue 7(2017)
• Page Start: 5378
• Page End: 5391
• Publication Date: 2017-08-09
• Subjects: Detection limit -- Informative censoring -- Joint model -- Skew distributions -- Tobit model; Statistics -- Numerical analysis; Mathematical statistics -- Periodicals; Mathematical statistics -- Data processing -- Periodicals; Digital computer simulation -- Periodicals; 519.5
• DOI: 10.1080/03610918.2016.1157181
• Languages: English
• ISSNs: 0361-0918

Abstract

ABSTRACT: In HIV/AIDS study, the measurements viral load are often highly skewed and left-censored because of a lower detection limit. Furthermore, a terminal event (e.g., death) stops the follow-up process. The time to terminal event may be dependent on the viral load measurements. In this article, we present a joint analysis framework to model the censored longitudinal data with skewness and a terminal event process. The estimation is carried out by adaptive Gaussian quadrature techniques inSAS procedureNLMIXED . The proposed model is evaluated by a simulation study and is applied to the motivating Multicenter AIDS Cohort Study (MACS).