Search results for "South carolina"
showing 5 items of 5 documents
Management of Patients With Nonvariceal Upper Gastrointestinal Bleeding
2011
*Division of Gastroenterology, and Division of Clinical Epidemiology, McGill University and the McGill University Health Centre, Montreal, Quebec, Canada; INSERM IC-P 803, CHU du Bocage, Dijon, France; Universite de Bourgogne, Dijon, France; **Department of Medicine, Division of Gastroenterology, Farncombe Family igestive Health Research Institute, McMaster University, Hamilton, Ontario, Canada; Guelph General Hospital, Guelph and McMaster University, Guelph, Ontario, Division of Gastroenterology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania; Division of Gastroenterology, Medical University Canada; f South Carlolina, Charleston, South Carolina; and the Departmen…
Monetary union and productivity differences in Mercosur countries
2006
Abstract This paper investigates cross-country productivity convergence among Mercosur members plus associates (Chile and Bolivia) and Peru, during the period 1960–1999. The testing strategy is based on the definitions of time series convergence by Bernard and Durlauf (1995) [Bernard, A. B., & Durlauf, S. N. (1995). Interpreting tests of convergence hypothesis. Journal of Econometrics , 71 , 161–173] and applies sequentially the multivariate unit root tests proposed by Sarno and Taylor (1998) [Sarno, L., & Taylor, M. (1998). Real exchange rates under the recent float: Unequivocal evidence of mean reversion. Economics Letters , 60 , 131–137], Flores et al. (1995) [Flores, R., Preumont, P.Y.,…
Prospective analysis of infectious disease surveillance data using syndromic information.
2014
In this paper, we describe a Bayesian hierarchical Poisson model for the prospective analysis of data for infectious diseases. The proposed model consists of two components. The first component describes the behavior of disease during nonepidemic periods and the second component represents the increase in disease counts due to the presence of an epidemic. A novelty of our model formulation is that the parameters describing the spread of epidemics are allowed to vary in both space and time. We also show how syndromic information can be incorporated into the model to provide a better description of the data and more accurate one-step-ahead forecasts. These real-time forecasts can be used to …
Prospective surveillance of multivariate spatial disease data
2012
Surveillance systems are often focused on more than one disease within a predefined area. On those occasions when outbreaks of disease are likely to be correlated, the use of multivariate surveillance techniques integrating information from multiple diseases allows us to improve the sensitivity and timeliness of outbreak detection. In this article, we present an extension of the surveillance conditional predictive ordinate to monitor multivariate spatial disease data. The proposed surveillance technique, which is defined for each small area and time period as the conditional predictive distribution of those counts of disease higher than expected given the data observed up to the previous t…
Conditional predictive inference for online surveillance of spatial disease incidence
2011
This paper deals with the development of statistical methodology for timely detection of incident disease clusters in space and time. The increasing availability of data on both the time and the location of events enables the construction of multivariate surveillance techniques, which may enhance the ability to detect localized clusters of disease relative to the surveillance of the overall count of disease cases across the entire study region. We introduce the surveillance conditional predictive ordinate as a general Bayesian model-based surveillance technique that allows us to detect small areas of increased disease incidence when spatial data are available. To address the problem of mult…