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- 2Cluster detection
- 2Compound Poisson
- 2Spatial scan
- 1Conditional autoregressive
Temporal trends in pediatric mental health visits: using longitudinal data to inform emergency department health care planning
Temporal trends in pediatric mental health visits: using longitudinal data to inform emergency department health care planningDownload
OBJECTIVE: Understanding the temporality of mental health presentations to the emergency department (ED) during the 24-hour cycle, day of the week, and month of the year may facilitate strategic planning of ED-based mental health services. METHODS: Data on 30,656 ED presentations for mental...
A Spatial Scan Statistic for Compound Poisson Data, Using Negative Binomial Distribution and Accounting for Population StratificationDownload
Since the interest in studying spatial relations in plant populations was raised in the 1950s, much effort has been devoted to the development of methods for spatial data analysis. One such development focused on techniques for detecting spatial clusters of cases and events in the biological...
The topic of spatial cluster detection gained attention in statistics during the late 1980s and early 1990s. Effort has been devoted to the development of methods for detecting spatial clustering of cases and events in the biological sciences, astronomy and epidemiology. More recently, research...
This paper studies generalized linear mixed models (GLMMs) for the analysis of geographic and temporal variability of disease rates. This class of models adopts spatially correlated random effects and random temporal components. Spatio-temporal models that use conditional autoregressive smoothing...