BSTA 514 Survival Analysis

Instructor(s): Mara Tableman, PhD or Jong Sung Kim, PhD (location alternates between OHSU and PSU every other year)

Course Description Analysis of survival time data using parametric and nonparametric methods for estimation, hypothesis testing, and regression methods for censored data with covariates. In addition to the traditional parametric models such as the Weibull and log-normal, the Kaplan-Meier (empirical) estimate of the survival function and the Cox proportional hazards regression model are studied in detail. Determination of power and sample size calculations will be covered.  This course is cross listed with STAT 578 in Mathematics and Statistics at PSU.

Credits 3

Term Offered Winter

Prerequisite Registration in BSTA 512 Linear Models or permission of instructor