PS-SiZer map to investigate significant features of body-weight profile changes in HIV infected patients in the IeDEA Collaboration

By Jaroslaw Harezlak, Samiha Sarwat, Kara Wools-Kaloustian, Michael Schomaker, Eric Balestre, Matthew Law, Sasisopin Kiertiburanakul  Dr. Matthew Fox  Diana Huis in ‘t Veld, Beverly Sue MusickID, Constantin Theodore Yiannoutsos  |  | 

We extend the method of Significant Zero Crossings of Derivatives (SiZer) to address within-subject correlations of repeatedly collected longitudinal biomarker data and the computational aspects of the methodology when analyzing massive biomarker databases. SiZer is a powerful visualization tool for exploring structures in curves by mapping areas where the first derivative is increasing, decreasing or does not change (plateau) thus exploring changes and normalization of biomarkers in the presence of therapy.