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Analysis of Zero-Inflated and Overdispersed Time Series: An Application to Syphilis Surveillance in the United States
Content Type: Abstract
Time series data involving counts are frequently encountered in many biomedical and public health applications. For example, in disease surveillance, the occurrence of rare infections over time is often monitored by public health officials, and the… read more… account for zero-inflation and overdispersion in the data may result in misleading inference and the detection of … account for zero-inflation and overdispersion in the data may result in misleading inference and the detection of … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 … -
Clustering of U.S. Cities Based on Mortality from Influenza and Pneumonia
Content Type: Abstract
Influenza is a major cause of mortality. In developed countries, mortality is at its highest during winter months, not only as a result of deaths from influenza and pneumonia but also as a result of deaths attributed to other diseases (e.g.… read more… of high dimensional genomic data. However, QT_Clust may be applied to many time-series-data sets where the … pattern of mortality such that cities across the nation may resemble one another more closely than cities within a … ehtj11115 ehtj11120 ehtj11024 ehtj11060 ehtj11110 26-50 ehtj11034 ehtj11198 ehtj11174 ehtj11048 ehtj11154 …