SURVIVAL ANALYSIS THEORY AND METHODS

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Summarize the features of censored data and their implications in drawing inference Audience: Graduate 2. Implement proper non- and semi-parametric methods for analysis of various types of data Audience: Graduate 3. Recognize and check the assumptions needed for estimation and inference Audience: Graduate 4. Implement the inference procedures to solve real-world problems using statistical packages such as R (or SAS) Audience: Graduate 5. Interpret and present the analytic results in a clear and coherent way to answer substantive questions Audience: Graduate Learning Outcomes: 1. Summarize the features of censored data and their implications in drawing inference Audience: Graduate 2. Implement proper non- and semi-parametric methods for analysis of various types of data Audience: Graduate 3. Recognize and check the assumptions needed for estimation and inference Audience: Graduate 4. Implement the inference procedures to solve real-world problems using statistical packages such as R (or SAS) Audience: Graduate 5. Interpret and present the analytic results in a clear and coherent way to answer substantive questions Audience: Graduate