An increasing number of longitudinal datasets are being made available. The longitudinal nature of the dataset may be represented as a hierarchy of stages, say, measurements across time nested within an individual. We’ll discuss how hierarchical models account for the nested structures and how Generalized Linear Models account for different outcome-response data types. Through hands-on exercises, the workshop will give a brief overview of the motivation and intuition of longitudinal data analysis.
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Longitudinal Data Analysis
May 21, 2015 @ 2:00 pm - 5:00 pm PDT
May 21, 2015
2400 Public Affairs Building