Analysis of multivariate longitudinal immuno-epidemiological data using a pairwise joint modelling approach.

ABSTRACT:

Background

Immuno-epidemiologists are often faced with multivariate outcomes, measured repeatedly over time. Such data are characterised by complex inter- and intra-outcome relationships which must be accounted for during analysis. Scientific questions of interest might include determining the effect of a treatment on the evolution of all outcomes together, or grouping outcomes that change in the same way. Modelling the different outcomes separately may not be appropriate because it ignores the underlying relationships between outcomes. In such situations, a joint modelling strategy is necessary. This paper describes a pairwise joint modelling approach and discusses its benefits over more simple statistical analysis approaches, with application to data from a study of the response

SUBMITTER: Lubyayi L 

PROVIDER: S-EPMC8449434 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature