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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 …