Using Cox cluster processes to model latent pulse location patterns in hormone concentration data.

ABSTRACT: Many hormones, including stress hormones, are intermittently secreted as pulses. The pulsatile location process, describing times when pulses occur, is a regulator of the entire stress system. Characterizing the pulse location process is particularly difficult because the pulse locations are latent; only hormone concentration at sampled times is observed. In addition, for stress hormones the process may change both over the day and relative to common external stimuli. This potentially results in clustering in pulse locations across subjects. Current approaches to characterizing the pulse location process do not capture subject-to-subject clustering in locations. Here we show how a Bayesian Cox cluster process may be adapted as a model of the pulse location process. We show that this novel

SUBMITTER: Carlson NE 

PROVIDER: S-EPMC5006117 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature