Bayesian time-series analysis of a repeated-measures poisson outcome with excess zeroes.

ABSTRACT: In this article, the authors demonstrate a time-series analysis based on a hierarchical Bayesian model of a Poisson outcome with an excessive number of zeroes. The motivating example for this analysis comes from the intensive care unit (ICU) of an urban university teaching hospital (New Haven, Connecticut, 2002-2004). Studies of medication use among older patients in the ICU are complicated by statistical factors such as an excessive number of zero doses, periodicity, and within-person autocorrelation. Whereas time-series techniques adjust for autocorrelation and periodicity in outcome measurements, Bayesian analysis provides greater precision for small samples and the flexibility to conduct posterior predictive simulations. By applying elements of time-series analysis within both frequent

SUBMITTER: Murphy TE 

PROVIDER: S-EPMC3254157 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature