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

ABSTRACT:

Objectives

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.

Methods

We propose a penalized spline SiZer (PS-SiZer) which can be expressed as a linear mixed model of the longitudinal biomarker process to account for irregularly collected data and within-subject correlations. Through simulations we show how sensitive PS-

SUBMITTER: Harezlak J 

PROVIDER: S-EPMC7194369 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature