MATH 453 - Survival Analysis

Survival analysis refers to a set of methods used for modeling “time-to-event” or “duration” data. In many studies, the outcome of interest is the time between between events (e.g. onset of Alzheimer’s until death, time unlit default on a loan, unemployment duration, marriage duration, removal-to-recurrence of a tumor, emergency room length of stay). Survival analysis evolved from a practical reality: the precise values of data are often unknown. We will introduce the concepts of censoring and truncation, and discuss the Kaplan-Meier curve, parametric regression models, Cox’s proportional hazards model, and time-varying covariates. The course will have an applied focus. Examples may be drawn from a variety of fields including, but not restricted to, medicine, economics, sociology, and political science. The course will count toward completion of the concentration in Community and Global Health. This course counts toward the capstone requirement. Prerequisite(s): MATH 155 and MATH 354. Even fall and even spring semesters. (4 Credits)