CHL5222H: Analysis of Correlated Data

The course introduces statistical methods to analyze correlated data commonly encountered in health science research. Topics will include: data visualization, linear models for correlated data, linear mixed-effects models, marginal models, generalized linear mixed-effects models, multilevel models, missing data, and drop-out. Examples are extensively used to illustrate concepts and implemented using the software R.

Credit Value (FCE)

0.50

Course is eligible to be completed as Credit/No Credit: Yes

Campus(es)

St. George

School of Graduate Studies University of Toronto 63 St. George Street Toronto, ON Canada M5S 2Z9
Tel: 416-978-6614

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