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MATH 686 Survival Analysis (4 credits)

Note: This is the 2016–2017 edition of the eCalendar. Update the year in your browser's URL bar for the most recent version of this page, or click here to jump to the newest eCalendar.

Offered by: Mathematics and Statistics (Faculty of Science)

Administered by: Graduate Studies

Overview

Mathematics & Statistics (Sci) : Parametric survival models. Nonparametric analysis: Kaplan-Meier estimator and its properties. Covariates with emphasis on Cox's proportional hazards model. Marginal and partial likelihood. Logrank tests. Residual analysis. Homework assignments a mixture of theory and applications. In-class discussion of data tests.

Terms: This course is not scheduled for the 2016-2017 academic year.

Instructors: There are no professors associated with this course for the 2016-2017 academic year.

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