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Comparing the Historical Limits Method (HLM) and Negative Binomial (NB) Regression for Detecting Quarterly Infectious Disease Outbreaks in R
When detecting HCV outbreaks, HLM will alert you if the current quarter’s case count is much higher than the average of previous quarters, without adjusting for changes in population size or time trends. In contrast, NB regression can model expected case counts based on factors such as time, region, population, and seasonality, providing a more accurate expected count along with confidence intervals.
R #1 REPLICA EJERCICIO PRACTICO JUAN SERRANO
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2025 Nashville Results
2025 Nashville Results
