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Analysis Of Temporal Data Public Health

This course surveys methods for analyzing public health data collected over time. Methods covered include smoothing time series data, the modeling of stationary time series for Gaussian, dichotomous, and case count responses, methods for detecting the clustering of disease over time, and methods for the surveillance of infectious diseases in real time.

Prefix:
BST
Course Number:
766
Credits:
3.0