Modeling adaptive response profiles in a vaccine clinical trial.

ABSTRACT:

Background

Vaccine clinical studies typically provide time-resolved data on adaptive response read-outs in response to the administration of that particular vaccine to a cohort of individuals. However, modeling such data is challenged by the properties of these time-resolved profiles such as non-linearity, scarcity of measurement points, scheduling of the vaccine at multiple time points. Linear Mixed Models (LMM) are often used for the analysis of longitudinal data but their use in these time-resolved immunological data is not common yet. Apart from the modeling challenges mentioned earlier, selection of the optimal model by using information-criterion-based measures is far from being straight-forward. The aim of this study is to provide guidelines for the application and selection

SUBMITTER: Hasdemir D 

PROVIDER: S-EPMC7364493 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature