Statistics 350 - Survival Analysis

Survival analysis is a flexible and powerful approach to model data where time to an event is of interest. Survival data arise in many settings where we need to act before all events are observed (hence some are censored or truncated).  Students will develop an understanding of the theory and applications of survival analysis, including parametric, semi-parametric, and non-parametric survival models using software to carry out analyses and simulation. The class will provide opportunities to deepen understanding through analysis of case studies and published papers.

Fall semester. Professor Horton.

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Students who enroll in this course will likely encounter and be expected to engage in the following intellectual skills, modes of learning, and assessment: quantitative and computational work, problem sets, quizzes or exams, group work, research paper (project), and oral presentations.