CLRES 2023 - SURVIVAL ANALYSIS

Minimum Credits: 1
Maximum Credits: 1
This is an introductory course in regression modeling of time-to-event data. It is intended for physicians in fellowship training programs and other researchers with a limited background in statistics. The course focuses on descriptive methods for survival data, survival analysis, and issues pertaining to time-dependent covariates. At the completion of the course, trainees should be able to recognize when it is necessary to account for time in the analysis of yes/no outcomes and appropriately summarize time-to-event data; be able to interpret the survival analysis model and assess the appropriateness and adequacy of the model; be familiar with issues in the design, analysis, and interpretation of studies involving time-dependent covariates; be able to apply analytic skills to the analysis of datasets taken from the fields of medicine and public health; and be able to develop oral and written communication skills through the description of analytic strategies and the summarization and interpretation of results.
Academic Career: Graduate
Course Component: Directed Studies
Grade Component: Grad LG/SNC Basis
Course Requirements: CREQ: (CLRES 2005 and 2020 and 2021 and 2022) or (MEDEDU 2005 and 2020 and CLRES 2021 and 2022); PLAN: Medical Education (CERT-Master's or MS), Clinical Research (CERT-Master's or MS), Clinical and Translational Sci (PHD)

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