Latent Variable Poisson Models for Assessing the Regularity of Circadian Patterns over Time.

ABSTRACT: Many researchers in biology and medicine have focused on trying to understand biological rhythms and their potential impact on disease. A common biological rhythm is circadian, where the cycle repeats itself every 24 hours. However, a disturbance of the circadian pattern may be indicative of future disease. In this article, we develop new statistical methodology for assessing the degree of disturbance or irregularity in a circadian pattern for count sequences that are observed over time in a population of individuals. We develop a latent variable Poisson modeling approach with both circadian and stochastic short-term trend (autoregressive latent process) components that allow for individual variation in the degree of each component. A parameterization is proposed for modeling covariate dep

SUBMITTER: Kim S 

PROVIDER: S-EPMC6447315 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature