10.6084/m9.figshare.3120310.v2
Xiao Su
Xiao
Su
Sheng Luo
Sheng
Luo
Analysis of censored longitudinal data with skewness and a terminal event
Taylor & Francis Group
2016
Detection limit
Informative censoring
Joint model
Skew distributions
Tobit model
Statistics
Numerical analysis
2016-03-04 16:33:09
Journal contribution
https://tandf.figshare.com/articles/journal_contribution/Analysis_of_Censored_Longitudinal_Data_with_Skewness_and_a_Terminal_Event/3120310
<p>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 in SAS procedure NLMIXED. The proposed model is evaluated by a simulation study and is applied to the motivating Multicenter AIDS Cohort Study (MACS).</p>