MATH 526 Lifetime Data Analysis

4 credits · Mathematics and Statistics · Faculty of Science · Offered: Winter

In-depth study of survival analysis, covering foundational concepts and advanced techniques in time-to-event data analysis. Exploration of censoring and truncation, survival and hazard functions, and nonparametric methods like the Kaplan-Meier estimator. Core topics include hypothesis testing for su…

Prerequisites

MATH 208 and (MATH 324 or MATH 357). Some background in multiple linear regression is recommended (e.g., MATH 204, MATH 423, or MATH 533), but not required.

Prerequisite courses: MATH 208, MATH 324, MATH 357

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