BIOST 2066 - APPLIED SURVIVAL ANALYSIS: METHODS AND PRACTICE

Minimum Credits: 2
Maximum Credits: 2
This course covers fundamental concepts and methods important for analysis of datasets where the outcome is the time to an event of interest, such as death, disease occurrence or disease progression. Topics include: basic methods for summarizing and presenting time-to-event data in tabular form and graphically as life tables, non-parametric statistical techniques for testing hypotheses comparing life tables for two or more groups; approaches to fitting the semi-parametric Cox proportional hazard model and other commonly used parametric models that incorporate study co-variables, methods for assessing goodness-of-fit of the models, and sample size considerations. In addition to didactic lectures, there are group projects that involve analysis of datasets and presentation of analytic reports in the classroom.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad Letter Grade
Course Requirements: PREQ: BIOST 2049; PLAN: Biostatistics (PHD,MS)

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