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Abstract:
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This course will teach the basics, as well as advanced modeling options and selection techniques, of survival analysis, which is of enormous use in many applied fields. Survival analysis is sometimes called, or is closely related to: Reliability Analysis, Life Distribution Analysis, Life Testing, Degradation Analysis, Time-to-Event Analysis, and Analysis of Censored/Truncated Data. In this course, participants will learn the underlying concepts of survival analysis, what censoring is and how to handle it, the traditional modeling options (nonparametric, semi-parametric, fully parametric with a variety of potential underlying distributions), variable selection techniques, and model comparison. Participants should have a basic understanding of statistics, such as means and distributions. Understanding of likelihoods and generalized linear models could be helpful but is not required.
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